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Examining the Effect of Green Logistics and Green Human Resource Management on Sustainable Development Organizations: The Mediating Role of Sustainable Production in Environmentally Friendly Manufacturing Industries in Indonesia

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17 April 2023

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18 April 2023

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Abstract
Purpose, This research aimed to examine the effect of green logistics (GL) and green human resource management (GHRM) on the performance of environmentally friendly manufacturing industries oriented towards sustainable development of organizations (SDO) through the role of sustainable production (SP) as a mediating variable. Methodology, A quantitative approach was employed through a standardized questionnaire to obtain data from 110 manufacturing industries in Indonesia that implemented environmentally friendly practices. Advanced statistical techniques, such as Structural Equation Modeling (SEM) and data analysis using Smart PLS (Partial Least Square) version 4 were utilized to analyze the collected data. Findings, The results showed that the model supported the statistical significance of all seven hypotheses and confirmed the direct and mediating effects of GL, GHRM, and SP on SDO. Practical implications, This research added critical insights into the theory and practice of GL and GHRM to realize SDO through the role of SP as a mediator in environmentally friendly manufacturing industries. Originality, This research contributd to the existing literature by adding to the effect of SP mediation on the relationship of GL and GHRM on SDO. There was no previous research that discussed the important role of SP mediation in influencing the relationship between GL and GHRM on SDO.
Keywords: 
Subject: Business, Economics and Management  -   Business and Management

1. Introduction

In recent years, the mainstream media has brought attention to the global environmental crisis resulting from human activities. As a response, the government has taken various measures, based on academic literature, to involve the general public in mitigating this crisis (Jinru et al., 2022a), (Shi et al., 2022), (Zeng et al., 2017), and (Yu, Khan, & Umar, 2022). The ramifications of this phenomenon provide a basis for stakeholders to make legitimate demands that industries take responsibility for any adverse effects due to their economic activities. Industries around the world respond to these demands by seeking models and methods to internalize environmental concerns in their strategic planning (Seroka-Stolka, 2014). Furthermore, literature related to sustainable development of organizations (SDO) emphasizes organizational performance-oriented towards environmental aspects to achieve competitive advantage by applying the concept of green human resource management (GHRM) (Bombiak & Marciniuk-Kluska, 2018).
On the other hand, the concept of sustainable development goals (SDGs) has determined the important role of green logistics (GL) and GHRM in implementing environmentally friendly performance (Rakhmangulov et al., 2017). From a micro perspective, these tools for environmentally friendly practices can directly influence the realization of SDO. GL significantly affects emissions and energy consumption (Liu et al., 2018), (Vienažindienė et al., 2021), hence, its role cannot be ignored in the reduction of the impacts and creation of environmentally friendly solutions. Furthermore, it raises environmental awareness by mandating the consequences of using the logistics system implemented in industries’ operational activities (Fortes, 2009). The main objective is the management of all operational activities to achieve a balance between economic, environmental, and social performance which is a dimension of the SDO concept known as the triple bottom line. A human factor is a tool that can stimulate the practice of increasing the effectiveness of an organizational environment. Meanwhile, environmentally oriented management should be exclusively carried out by individuals possessing the necessary competence in the field of ecology, coupled with a positive attitude towards the environment. These individuals must assume responsibility for the environmental implications of all their actions. GHRM in the development has played an important role, and several sources of literature emphasize the significant potential of HRM that contributes to the popularization of sustainable balance (Cohen et al., n.d.), (Ehnert, 2012), (Egri, 2002), (Ehnert et al., n.d.), (Jabbour, 2008), (Preuss, 2009), (Ahmad, 2015), (Arulrajah et al., 2015), (Davies & Crane, 2010), (Primorac et al., n.d.). Recent research found that GL and the implementation of GHRM mediated by sustainable production (SP) can influence the circular economy (CE) (Cheng et al., 2023) with the object of research being the garment industry in Bangladesh. The research of (Bombiak & Marciniuk-Kluska, 2018) regarding GHRM practices positively affected the performance of SDO in Poland with an emphasis on environmental aspects. In addition, GL is an original approach to achieving SDO based on the harmonization of economic aspects with the principles of sustainable development achieved through the systematization of logistical methods and instruments (Rakhmangulov et al., 2017). Research that raised the issue of implementing GL and GHRM to realize SDO was carried out, but the number of publications with good practices in implementing SDO was limited. Therefore, the relevance is still minimal for environmentally friendly manufacturing industries. This reality stimulated the conduction of research on the issue of GL and GHRM on SDO accompanied by intermediary variables. The addition of these intermediary variables completes the gaps in previous research, as well as explores other factors that can accelerate the realization of SDO. Furthermore, SP was considered a mediator variable in bridging the influence of GL and GHRM on SDO.
In 2022, a total of 44 manufacturing industries that apply the green industry concept have succeeded in following up on the low carbon development (LCD) policy for the government to maintain economic and social growth through development activities with low greenhouse gas (GHG) emissions and minimize the exploitation of natural resources. The impact is determined by the validated GHG program results for the reporting year 2021. These results showed energy and water savings amounting to IDR 3.2 trillion and IDR 169 billion, respectively. Additionally, emissions were reduced by up to 2.73 million tons of CO2e, equivalent to 99.3% of the NDC target for the industrial sector in 2020 at 2.75 million tonnes of CO2e (RI Ministry of Industry, 2022). This was only achieved by 28.95% of green manufacturing industries and the achievements had a relatively small impact on sustainable and environmentally friendly business practices. Therefore, environmentally friendly manufacturing industries should be improved to understand GL and GHRM practices in realizing SDO through SP.

2. Theoretical Basis and Research Hypothesis

2.1. Green Logistics (GL)

The concept of GL covers all functional areas of logistics in production activities, and operations, up to product disposal. Therefore, logistics becomes a tool for managing the problems of an organization in ensuring a balance between economic and environmental aspects (S. M. Kurbatova et al., 2020).
GL is the integration of all activities involving product movement in the supply chain. The process starts from the raw materials for certain products to the production and distribution systems to the end consumers, while linking reverse logistics. These activities have the main objective of achieving a balance of economic, environmental, and social sustainability through a structured sequence of activities to meet customer needs with cost efficiency GREEN LOGISTICS ORG, U. K. (2010). GL practices are related to the concept of sustainability, awareness that is not only oriented towards economic problems but also environmental and social issues impacting the wider community, such as the emergence of pollution, accumulation of waste, and relationships with consumers (Regina Da et al., n.d.).
Other GL concepts have also been stated as part of reducing the environmental impact caused by organizations. This is due to an increase in environmental pollution through product transportation and logistics activities. Therefore, organizations, transportation providers, and the government have taken the initiative to reduce pollution through GL practices (Fahimnia B. B., 2015).
The adoption of the GL approach is attributed to multiple factors, such as heightened public awareness, the implementation of increasingly stringent international standards, and proactive government policies aimed at promoting energy conservation, reducing carbon emissions, and minimizing operational expenses. Furthermore, the use of alternative energy sources, either partially or entirely replacing fossil fuels, also contributes to this trend. Opting for environmentally friendly transportation modes and providing adequate education and training to ensure organizational sustainability essentially constitute GL practices (McKinnon, 2010).

2.2. Green Human Resource Management

GHRM focuses on environmental and future aspects of work processes and functions to obtain positive results in the form of increased performance, innovation, motivation, and satisfaction among employees (Ahmad, 2015), (Mousa & Othman, 2020) The practices, policies, and characteristics are aligned with the concept of sustainability including social justice, health and welfare, behavior, and organizational performance (Amrutha & Geetha, 2020).
GHRM has also been shown to have a positive impact on employee behavior, specifically in terms of environmental, financial, social, and innovation performance (Singh et al., 2020), (Kim et al., 2019), (Pham, Thanh, Tuckova, & and Thuy, 2020), (O'Donohue & Torugsa, 2016). It allows employees to develop their knowledge and competence regarding environmentally friendly behavior, to increase the emergence of innovative ideas that contribute to employee performance by referring to research literature, application of principles in the HRM department in the form of policies, and implementation of environmentally caring practices (Shah, 2019), (Chreif & Farmanesh, 2022), (Huang, 2016). GHRM is a strategic topic that combines environmental and human resource management objectives. The scope includes a set of policies and practices aimed at protecting the workforce in the organization to maintain and develop intellectual capital through the implementation of HRM with effective and efficient methods (Mahmood, 2022), (Tang et al., 2018), (Renwick et al., 2013a). The definition is also interpreted as the implementation of human resource policies to increase the use of sustainable resources and at the same time promote a protective environment within the organization. Meanwhile, green employees’ management practices are also recommended in the GHRM concept. This is because organizations are also required to implement a green culture in all strategies while relying on all employee values, trends, and behaviors (Khan & Muktar, 2020).

2.3. Sustainable Production

The concept of SP originated in the 1990s, as noted by (Sezen & Çankaya, 2013). However, in recent decades, the concept has gained significant traction and become a prominent topic of discussion. The definition of SP provided by the US Department of Commerce pertains to activities aimed at producing goods while minimizing adverse environmental impacts, conserving energy and natural resources, and ensuring healthy economic performance for the benefit of consumers and the wider community (Tate et al., 2012).
SP is the most effective strategy in supply chain management, enabling producers to increase operational efficiency, community welfare, and environmental sustainability, while reaping economic benefits sustainably (Maruthi, et al., 2015; Roy, 2016). SP also refers to the production of goods whose processes are environmentally friendly to limit negative ecological impacts, in addition to considering worker safety, and welfare, as well as paying attention to social and environmental factors. The varied SP strategies include businesses based on the nature of operations adopted. The operations determine the long-term survival of industries by knowing the flow of materials and energy in the production system which opens insights into costs, system effectiveness, and the consequences for the environment (Yadav, et al., 2020), (Soundarrajan & Vivek, 2016), (Turner et al., 2019), and (Jinru et al., 2022b)
Green operating resources and GL initiatives are important factors for implementing SP (Bressanelli, et al., 2018). In addition, production activities that focus on saving energy and reducing emissions can result in increased SP performance (Zhang, et al., 2020). The practice is a form of effective and efficient use of natural resources in the production process, and this is a guarantee of fulfilling economic, social, and environmental aspects. These results in a sustainable concept that can protect the environment and improve the quality of life (Garetti and Taisch, 2012).

2.4. Sustainable Development

The concept of sustainable development has evolved but remains a subject of controversy. Some argue that certain approaches are too narrow when considering environmental protection, while others hold negative perspectives on the microeconomic level within organizations (Borys, 2015). The concept of sustainable development is based on the Triple Bottom Line (Dyllick & Hockerts, n.d.), (Elkington, 1997). As for sustainable development, there are three basic dimensions including (Graap, 2001):
1)
Ecological (protection of the environment and its natural resources),
2)
Economy (unhindered economic development, but driven by technological advances and increased effectiveness in the use of resources, materials, and labor),
3)
Social (improvement of living conditions and safety of all people).
Sustainable development can answer global challenges related to human activities in developing and developed countries. These practices and concepts can contribute to civilization-building focused on reducing and preventing the adverse effects of economic development. In addition, the concept is a form of modernization of economic development that emphasizes new management method approaches in organizations that are capable of producing various economic entities as well as replacement of environmentally friendly technologies (Poskrobko, 1997).
The World Commission on Environment and Development believes that sustainable development can meet the needs of the present generation without compromising the capabilities of future generations. In addition, sustainability development is considered smart, environmentally friendly, and in the use of resources carried out effectively using knowledge and producing innovation (Kromer, 2014).

2.5. Hypothesized Model

2.5.1. Green Logistics and Sustainable Development Practice

Scientists (Abdul Rehman Khan, 2019), (Ibrahim et al., 2018), (Evangelista et al., 2018) suggested that sustainable development can be realized by actively implementing GL practices in business processes, transportation, storage, and packaging. Research regarding these practices were also conducted in Germany, Italy, England, Sweden, Slovakia, China, Morocco, and Thailand (Centobelli, et al., 2020), (Pålsson & Kovács, 2014), (Richnák & Gubová, 2021), (Zhang et al., 2014), (Baz and Laguir, 2017) and (Sureeyatanapas, et al., 2018). The results showed a variety of GL practices, with notable differences observed across different countries. These variations can be attributed to various factors, such as the specifics of the cases studied, the duration of industries’ operations, logistics service processes, and cultural differences. However, the main thread was that GL practice had focus on the manufacturing sector and relatively little attention was paid to transportation and logistics services. There were still a lot of variabilities related to the implementation of green practices by manufacturing industries and the factors that encourage their application.
GL plays an important role in achieving SDO in industries, and in discussion forums (Centobelli, et al., 2017), (Karaman, et al., 2020), (Seroka-Stolka & Ociepa-Kubicka, 2019), (Evangelista et al., 2018), (Richnák & Gubová, 2021), (Rakhmangulov et al., 2018), (Kumar, n.d.), (Jum’a et al., 2021), (Baah, et al., 2019), the concept had a foundation of three main aspects interrelated and complementary, including economic, environmental, and environmental, and social aspects. Therefore, the following hypothesis is proposed:
Hypothesis 1 (H1):
GL has a positive effect on the SDO.

2.5.2. Green Human Resource Management and Sustainable Development

GHRM practice is focused on making contributions in economic, social, and environmental aspects, which are further related to sustainability known as the tree bottom line (Xu et al., 2022), (Colbert, 2007). There are two main components in GHRM, including environmentally friendly HRM practices and the preservation of knowledge assets. Therefore, it is imperative to construct an organizational culture that is conscientious, proactive, optimistic, and enduring, and instilled in all personnel to enhance their awareness, competence, and pro-environmental behavior (Mukherji & Bhatnagar, 2022) GHRM has a contribution to reducing the energy consumption of natural resources, streamlining transportation, building a sustainable work environment, and reducing carbon emissions (Opatha and Arulrajah, 2014), (Mehta & Chugan, 2015), (Jabbour & De Sousa Jabbour, 2016) and (Milliman, 2013). In addition, it also contributes to the development, welfare, health, and satisfaction of employees through increased creativity and capacity to change, attract and retain competent employees to create a sustainable organization (Ari et al., 2020), (Shipton et al., 2012), and (Renwick, et al., 2016). Therefore, the following hypothesis is proposed:
Hypothesis 2 (H2):
GHRM has a positive effect on the SDO.

2.5.3. Green Logistics and Sustainable Production

The first proposal for the concept of sustainable manufacturing emerged as a result of research conducted in 1987 (Repeto, 1987). The results described an action taken to maintain the efficiency of natural resource assets using a sustainable strategy. Furthermore, suggestions were provided for improving the relation to policies that can promote resource conservation, minimize environmental degradation, boost the economy, and alleviate poverty in underdeveloped areas. SP is known as an effective strategy in supply chain management (Ghosh, 2017) The practice of manufacturers developing hazardous compounds to fulfill consumer demand results in industries being obliged to reduce and even eradicate pollution (Roy and Khastagir, 2016). Implementation of SP practices is considered to enable producers to increase operational efficiency, prosper the community, preserve the environment, and increase economic profits (Karaman, et al., 2020).
Based on some of the findings, GL is an important component in SP of manufacturing industries. The practice has included various green initiatives aimed at reducing global ecological consequences as well as promoting pollution prevention activities (Bressanelli et al., 2018). Therefore, the following hypothesis is proposed:
Hypothesis 3 (H3):
GL has a positive effect on SDO.

2.5.4. Green Human Resource Management and Sustainable Production

GHRM practices can function as an organizational tool in integrating humans into aspects of environmental sustainability through a series of activities based on human resources and are comprehensive across various lines of the organization (Martínez-del-Río, et al., 2012) and (Renwick et al., 2013b). According to reliable sources, it is widely recognized that supporting the environmental management system through recruitment and selection, training, performance appraisal, and employee rewards is of utmost importance. GHRM practices are also relevant by supporting environmental management systems and the development of products and innovations with lower impacts (Govindarajulu and Daily, 2004). Currently, industries cannot ignore environmental aspects, and this has resulted in major manufacturing industries around the world adopting GHRM which is meant for corporate preference. Therefore, large industries can practice SP by producing environmentally friendly products (Masri, et al., 2017). Based on this, the hypothesis is formulated as follows:
Hypothesis 4 (H4):
GHRM has a positive effect on SDO.

2.5.5. Sustainable Production and Sustainable Development

The required parameter is the production of goods using environmentally friendly processes intended to minimize negative ecological impacts (Bag and Pretorius, 2022). Several initiatives on SP practices have been implemented to reduce the impact of production on the environment. This goal is a major effort in reducing unwanted waste, excessive energy consumption, ineffective use of materials, and resource recovery (Pajunen, et al., 2012). These are all processes of integrating the systems of industries with the ability to create quality products through more efficient and environmentally friendly utilization of resources. Furthermore, sustainable production can align economic, environmental, and social impacts in all production processes to realize sustainable development (Machado et al., 2020). Therefore, the following hypothesis is proposed:
Hypothesis 5 (H5):
SP has a positive effect on SDO.

2.5.6. The Role of Mediation in Sustainable Production

SDO model is complex and inseparable which balances the three components of sustainable development, namely economic, social, and environmental aspects (Rakhmangulov et al., 2017). Many countries around the world, both adopting emerging market economies and those that are advanced in the economic and social fields, are currently striving to realize sustainable development. This is due to the need to create economic growth that can improve the quality of life without having to result in environmental destruction and exploitation of natural resources (S. Kurbatova et al., 2020).
The available literature identified several factors driving the realization of SDO, such as GL and GHRM. However, research assumed that the effect of the green factor on SDO was not direct. The realization of SDO through GL and the implementation of GHRM still feels the need to incorporate sustainability initiatives to complement sustainable development. These variables can minimize the consequences of negative ecological impacts (Lopes de Sousa Jabbour et al., 2019) and the relevance of the research is in line with (Cheng et al., 2023) and (Rakhmangulov et al., 2017), resulting in the effect of GL on SDO. Meanwhile, when facing challenges in the external environment, the industry can take advantage of GHRM practices as an important factor in the development of human resources (Zaid et al., 2018) and (Khan & Muktar, 2020).
Several research showed the results of integrating GHRM into SP as a business process. (Khan & Muktar, 2020) argued that GHRM recommends green employees’ management practices because this is part of a sustainable business management strategy. Therefore, industries must develop a green culture internalized in aspects of the production process as well as the values of employees and behavior. (Jinru et al., 2022a) and Cheng, et al. (2023) found that SP is an important intermediary variable in corporate green practices such as GL and GHRM, affecting SDO. Therefore, the following hypotheses were formulated:
Hypothesis 6 (H6):
GL has a positive effect on SDO through SP.
Hypothesis 7 (H7):
GHRM has a positive effect on SDO through SPuction.
The model framework is shown in Figure 1 below:

3. Research Methods

3.1. Samples

The population is industries engaged in green-based manufacturing businesses with a total of 152. These industries have been recorded in the database of the Ministry of Industry with the concept of GL, GHRM, SP, and SDO practices. The research distributed questionnaires to 152 industries, accompanied by a letter of introduction. The letter underscored the voluntary nature of the questionnaire and emphasized that respondents were under no obligation to participate. A total of 110 industries, which accounts for 72.36% of the total population, completed the questionnaire data in its entirety and were deemed suitable for research purposes, thereby serving as the research sample. Furthermore, the data were collected between December 2022 and February 2023.

3.2. Profile of Respondents

The most recent data collected and received, which will serve as a research sample, originates from a group of 110 general managers of green-based manufacturing industries in Indonesia, and the profiles of these respondents are presented in Table 1.

3.3. Measurement

All items in each construct were measured with five Likert scales starting from 1=strongly disagree, 2=disagree, 3=undecided, 4=agree, and 5 = strongly agree. About six indicators were obtained from several relevant literatures to assess GL (Rakhmangulov et al., 2017), (Baah, et al., 2019), (Cheng, et al., 2023) and GHRM (Renwick et al., 2013b) Jabbour, 2011, (Jabbour, 2011), (Bowen, 2009), (Pagell, 2009), (Srinivasan & Kurey, n.d.). Meanwhile, SP (Bag, 2014) (Unob et al., 2007), (Lee et al., 2007), (Zeng et al., 2017) and SDO were measured using four and eight indicators (Glonti et al., 2020) and Blagov, 2006). Each of these indicators was described in the form of variable operational definitions presented in Table 2.

3.4. Method

Methods of data analysis and hypothesis testing were conducted using Partial Least Square Structural Equation Modeling (PLS-SEM). The measurement tool used SmartPLS version 4 to perform PLS-SEM analysis (Ringle et al., 2015).

4. Data Analysis

4.1. Measurement and Structural Model

The outer model was a measurement result to evaluate the relationship between constructs and their indicators. Furthermore, there were two measurement methods, namely validity and reliability tests. The validity test assessment used the loading factor value, then the construct reliability is measured through Cronbach's Alpha (CA) and Composite Reliability (CR) values. A valid statement from an indicator was when the loading factor value was > 0.70, while the reliability was considered to meet the requirements for CR and CA values > 0.70 (Hair et al., 2014). The Average Variance Extracted (AVE) value can be stated to be satisfactory when the value was > 0.5 used to determine Convergent Validity (CV) (Palupi, 2021). Therefore, one latent variable can explain more than half of the indicators in the average value (Ghozali, 2016).
The validity and reliability measurements met the required criteria since the loading factor values were > 0.70 as well as the CA and CR values were > 0.70. Therefore, the research model can be stated to be valid and reliable. The AVE value also met the specified requirements of > 0.50 where the results showed values in the range of 0.610 to 0.785, as presented in Table 3.
Determining the value of R2 has sequential requirements when a value of 0.25, 0.50, and 0.75 is declared weak, moderate, and strong (Henseler, et al., 2016). The results of data processing show that the R2 value for the direct and indirect effect is 0.666 as presented in Table 4. Therefore, this research model is included in the moderate category with direct and indirect effects of GL and GHRM on through SP of 66.6%.
Table 4. R-square Value (R2).
Table 4. R-square Value (R2).
Construct R Square
Sustainable Production 0.666
Sustainable Development of Organizations 0.666
The subsequent step entails calculating the Q2 value, which serves to determine the predictive relevance of the research model with the observational value. The relevance of the model is deemed satisfactory or commendable when Q2> 0 (Islam, et al., 2019). The following is the calculation of the Q2 value that meets the requirements, hence, the research model is declared relevant:
Q2 = 1 – ((1 – R12)(1 – R22)…(1 – Rx2))
= 1 – ((1 – 0.6662)(1 – 0.6662))
= 0.690            
Calculation of the Goodness of Fit Index (GoF) value is conducted to find out the fitness level of the model with the requirement of a large GoF value = 0.36 (Ghozali and Latan, 2015). The results of calculating the GoF value amounted to 0.680, meaning the model has a large feasibility level.
GoF Index = √AVE x R2
                       = √((0.647+0.737+0.785+0.610)/4) x ((0.666+0.666)/2)
     = 0.680

4.2. Hypothesis Testing

The stages of hypothesis testing were carried out to prove the effect of exogenous variables, namely GL and GHRM on SP and SDO through partial testing of direct and indirect effects where SP becomes the mediating variable, as shown in Table 4.
Table 4. Hypothesis Test Results.
Table 4. Hypothesis Test Results.
Relations Between Constructs Original Sample (O) t Statistics (|O/STDEV|) P Values
H1: GL -> SDO 0.236 2.562 0.010
H2: GHRM -> SDO 0.243 2.284 0.022
H3: GL -> SP 0.222 3.224 0.001
H4: GHRM -> SP 0.677 9.090 0.000
H5: SP -> SDO 0.444 4.106 0.000
H6: GL -> SP -> SDO 0.099 2.464 0.014
H7: GHRM -> SP -> SDO 0.301 3.534 0.000
t-Table=1.982.
Based on Table 4, the results show that each of the seven hypotheses is statistically significant, while the research model for the inner model is shown in Figure 3. The hypothesis test results are explained in detail as follows:
H1: 
GL has a positive effect on SDO, meaning H1 is declared true/confirmed. Therefore, H0 is rejected because the t statistic is 2,562 < from the t table = 1,982 with a P-Value <0.000.
H2: 
GHRM has a positive influence on SDO, meaning H2 is declared true/confirmed. Therefore, H0 is rejected because the t statistic is 2,284 <from the t table = 1,982 with P-Value <0.000.
H3: 
GL has a positive effect on SP, meaning H3 is also confirmed/correct. Therefore, H0 is rejected because the t statistic is 3,224 <from the t table = 1,982 with a P-Value <0.000.
H4: 
GHRM has a positive effect on SP, meaning H4 is declared true/confirmed. Therefore, H0 is rejected because the t statistic is 9,090 <from the t table = 1,982 with a P-Value <0.000.
H5: 
SP has a positive influence on SDO, meaning H5 is true/confirmed. Therefore, H0 is rejected because the t statistic is 4.106 < from the t table = 1.982 with a P-Value < 0.000.
H6: 
GL has a positive influence on SDO through SP mediation, meaning H6 is also stated to be true/confirmed. Therefore, H0 was rejected since the t statistic was 2,464 <from the t table = 1,982 with a P-Value <0.000.
H7: 
GHRM has a positive influence on SDO through SP mediation, meaning H7 is declared true/confirmed. Therefore, H0 was rejected since the t statistic was 3,534 <from t table=1,982 with a P-Value <0.000.

5. Discussion and Conclusion

Manufacturing industries are required to improve their performance as a form of commitment to achieving national sustainable development goals. Several industries are oriented towards environmentally friendly and sustainable methods to promote SDO practices (Seroka-Stolka, 2014). For example, various businesses have implemented GL methods, which are efforts to achieve SDO performance (Fortes, 2009). Human resource factors influence the achievement of industries’ SDO performance through GHRM concepts and practices to create an environmentally friendly culture (Bombiak & Marciniuk-Kluska, 2018). Therefore, GHRM practices function to improve SDO performance in environmentally friendly manufacturing industries. Based on the SDGs theory, a model was created that produced a concept by combining four constructions including GL, GHRM, SP, and SDO. The data processing and analysis using PLS-SEM suggested that there was a direct or mediated relationship between the four constructs. These findings can add important insights and knowledge related to relevant literature in the context of green manufacturing industries in developing countries.
First, the implementation of GL practices can affect the performance of SDO, and there are several research with similar findings relevant to these results (Rakhmangulov et al., 2017). The logistics activities implemented in industries can realize all the main aspects of SDO practice, namely economic, environmental, and social aspects (Centobelli, et al., 2017), (Karaman, et al., 2020), (Seroka-Stolka & Ociepa-Kubicka, 2019), (Evangelista et al., 2018), (Richnák & Gubová, 2021), (Rakhmangulov et al., 2018), (Kumar, 2015), (Jum’a et al., 2021), (Baah, et al., 2019). Logistics functional activities covering production and operations are the basis of GL. Therefore, logistics can become a tool for managing problems in organizations to achieve a balance between economic and environmental aspects (S. M. Kurbatova et al., 2020). These findings strengthen the contribution of GL elements in the SDGs theory which is one of the key factors for achieving sustainable development (Rakhmangulov et al., 2017).
Second, GHRM has a significant influence on SDO practices in industries. These findings are also supported by several research which produced a positive relationship between GHRM and SDO (Bombiak & Marciniuk-Kluska, 2018). The findings showed that conscious, proactive, positive, and sustainable internalization of organizational culture can increase competency awareness of employees and green behavior which can certainly promote the achievement of SDO (Mukherji & Bhatnagar, 2022). The SDGs theory also states that the concept of a tree bottom line is the main focus of GHRM practice which directly contributes to sustainable development (Xu, et al., 2021), (Colbert, 2007).
Third, GL also has an impact on SP in industries. The practices can improve the performance of environmentally friendly oriented products. These findings are also relevant to previous research that connected GL with SP (Cheng, et al., 2023).
Fourth, GHRM has a very important influence to create SP in industries. These findings reinforce previous research, where the demand to be aware of the importance of preserving the environment has resulted in large manufacturing industries. Therefore, SP practices can be applied and achieved through the production of innovative products (Masri, et al., 2017).
Fifth, SP has a significant effect on SDO, as supported by previous research (Bag and Pretorius, 2020), (Pajunen, et al., 2012), (Machado et al., 2020), (Bressanelli et al., 2018), (Zhang et al., 2014). The practice is a form of effective and efficient use of natural resources in the production process, which can guarantee the fulfillment of economic, social, and environmental aspects. Therefore, the SDO concept contributes to protecting the environment and improving the quality of life (Garetti and Taisch, 2012).
Finally, the indirect effect analysis showed that there is an influence of SP as a mediator between GL and SDO. There was an indirect influence mediated by SP between GHRM and SDO. Furthermore, SP can be achieved with GHRM practices (Khan & Muktar, 2020) and is a factor in achieving SDO (Jinru et al., 2022b), (Cheng, et al., 2023). In conclusion, industries oriented towards green practices, such as GL and GHRM have succeeded in supporting the performance of environmentally friendly manufacturing industries and SDO. The existence can add to the literature related to GSCM and GHRM. This was due to the lack of research on the indirect effect of GL and GHRM on SDO performance in manufacturing industries.

6. Theorical Implications

The results can contribute theoretically to the current GL, GHRM, SP, and SDO literature. First, the contribution is to add a little literature related to the relationship between green performance practices and their contribution to SDO in manufacturing industries. Concerning the SDGs concept, this research has significant implications for manufacturing industries that implement environmentally friendly practices to achieve consistent SDO performance in a competitive environment. Second, the results are supported by statistical evidence in supporting the statement that the implementation of GL and GHRM has a major influence on improving SP and SDO practices in industries. These results are also consistent and relevant to research findings in other countries. Therefore, SDGs concept can be applied without being limited by geographical conditions. Third, based on currently available knowledge, this research contributes to establishing a direct link between SP and SDO. The process of SP activities which is increasingly optimal can significantly improve SDO performance in green manufacturing industries. These results have important implications in developing countries because the majority of similar research concepts and models are carried out in developed nations.
Fourth, this research contributes to the literature by adding the effect of SP mediation on the relationship of GL and GHRM to SDO. The majority of the existing literature focuses on the direct influence between GL and SP, GHRM, and SP as an increase in SDO performance of industries (Karaman, et al., 2020; Amrutha and Geetha, 2019). Furthermore, the existence of SP as a mediator positively influences the relationship of GL and GHRM to SDO. This means that the activities of industries can increase the application of technology, information systems, and employees’ competency in implementing green performance to increase corporate value and prioritize social and environmental aspects. There was no previous research that discussed the important role of SP mediation in influencing the relationship between GL and GHRM on SDO.

7. Pactical Implications

The implications for the practical world can cover corporate managers, governments, and legislators. Competitiveness can be increased to achieve SDO performance by combining many initiatives such as GL and GHRM practices to remain consistent in achieving sustainable development. In addition, this research develops a model for the implementation of GL and GHRM in supply chain management to raise employee awareness of environmental care. The ultimate objective is to significantly contribute to achieving Sustainable SDO that are holistic, encompassing economic, social, and environmental aspects. These results can be used by the government to accelerate the implementation of green industry criteria standards with a broad impact on the environment through a low carbon development (LCD) policy to maintain economic and social growth through development activities with low GHG emissions and minimize the exploitation of natural resources.

Author Contributions

Conceptualization, A.S.; data curation, S.P.; formal analysis, A.S. and Y.K.A.; investigation, Y.K.A; methodology, S.A.; project administration, S.P.; resources, S.A.; software, Y.K.A.; supervision, Y.K.A. and S.A.; validation, S.P. and S.A.; visualization, S.A.; writing—original draft, A.S. and Y.K.A.; writing—review & editing, A.S., S.P., S.A., and S.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

Many thanks to all the contributions and support given by the authors in preparing the writing of this article. The authors also acknowledge the contribution of the participants who answered the survey.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Thinking Framework.
Figure 1. Thinking Framework.
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Figure 2. Outer Model.
Figure 2. Outer Model.
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Figure 3. Inner Model.
Figure 3. Inner Model.
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Table 1. Profile of Respondents.
Table 1. Profile of Respondents.
Variables Categories Frequency Percentage
Industry age <10 Years 41 37,27%
>10 Years 69 62,73%
Tenure in the position of General Manager <1 Year 103 93,64%
>1 Year 7 6,36%
Age 25—50 Years 97 88,18%
>50 Years 13 11,82%
Last Education Diploma 0 0,00%
Masters 31 28,18%
Magister 64 58,18%
Doctor 15 13,64%
Number of employees <500 employee 11 10,00%
>500 employee 99 90,00%
Scope of operation Local 12 10,91%
National 57 51,82%
International 41 37,27%
Table 2. Variable Operational Definition.
Table 2. Variable Operational Definition.
Variable Code Item Source
Green Logistics GL1 Industries have implemented a logistics system by considering environmental, economic, and socio-cultural aspects [1], Baah, et al, (2019); Cheng, et al, (2023).
GL2 Industries implement a GL system to maintain market sustainability by utilizing technology and information systems
GL3 Industries continuously improve the function of the logistics system including methods, techniques, and instruments to be competitive and ensure a sustainable market position
GL4 Industries adapt to the changes in the GL operation system to consolidate ecological solutions and optimize the economy
GL5 The entire supply chain system of industries has been adapted for sustainable development
GL6 Industries promote the use of environmentally friendly materials through its products and packaging
Green Human Resource Management GHRM1 The job position in industries allows involvement in environmental management activities [2], Jabbour (2011); (Bowen, 2009); Pagell and Wu, (2009); Srinivasan and Kurey, (2014)
GHRM2 Industries assesse the contribution of employees to environmental management
GHRM3 Environmental training is considered an important investment in industries
GHRM4 Leaders promote employees to learn green information
GHRM5 Managers communicate green and environmental policies with employees
GHRM6 Managers talk about environmental issues and review green operations for sustainability
Sustainable Production SP1 Industries prioritize environmentally friendly product design (such as design, product life cycle analysis) Bag, (2014); [3], Lee et al, (2007); [4]
SP2 Industries attache importance to the use of production technology and production processes that are environmentally friendly
SP3 Waste and garbage are used after reprocessing to produce new products
SP4 Industries continuously develop and implement policies to produce environmentally friendly products
Sustainable Development of Organizations SDO1 Increasing the market value of industries which is an indicator of sustainable performance [5], Blagov, (2006)
SDO2 Maintain production stability and high consumption levels
SDO3 Industries comply with the principles of equality and equity by prioritizing social and environmental aspects
SDO4 Industries can meet consumer needs to feel satisfied
SDO5 Industries improve the level and quality of life of staff, consumers, and stakeholders
SDO6 Industries in the production process have reduced the emission of hazardous waste into the atmosphere
SDO7 Effectiveness and efficiency of rational use of natural resources
SDO8 Industries optimize the allocation of costs for environmental protection
Table 3. Loading Factor Value.
Table 3. Loading Factor Value.
Variable Indicator Outer Loading CA CR AVE
Green Logistics (X1) GL1 0.712 0.890 0.897 0.647
GL2 0.834
GL3 0.811
GL4 0.799
GL5 0.797
GL6 0.864
Green Human Resource Management (X2) GHRM1 0.872 0.928 0.932 0.737
GHRM2 0.814
GHRM3 0.906
GHRM4 0.809
GHRM5 0.854
GHRM6 0.892
Sustainable Production (Y1) SP1 0.911 0.908 0.908 0.785
SP2 0.922
SP3 0.886
SP4 0.823
Sustainable Development of Organizations (Y2) SDO1 0.815 0.909 0.914 0.610
SDO2 0.827
SDO3 0.733
SDO4 0.810
SDO5 0.766
SDO6 0.758
SDO7 0.778
SDO8 0.759
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