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This paper aims to investigate the adoption barriers of Industry 4.0 in the Indonesian manufacturing supply chains.

The mixed method was deployed to validate the findings. First, the qualitative study was conducted based on the interviews. Then, the companies were approached using filter questions on the involvement in adopting industry 4.0 and its impact on the supply chain.

Based on the qualitative study, nine main barriers were found in the thematic analysis. Thus, to get a consensus on the barriers in the industry, the barrier indicators were tested using a structural equation model retrieved from 173 small and medium Indonesian manufacturing firms. Results indicate that five main barriers (e.g. unclear Industry 4.0 policy, higher-risk investment, insecure data sharing, lack of expertise and lack of incentive) are confirmed as the adoption barriers.

The successful adoption of supply chain integration with Industry 4.0 technology can strengthen the manufacturing sector and competitiveness. Therefore, this study can be a complimentary assessment to evaluate the Indonesia Industry 4.0 Readiness Index (INDI 4.0) and the effectiveness of the government support program.

The results can be used as the framework to foresee the successful implementation of smart manufacturing supply chain management and its integration. Therefore, the authors proposed the framework to foresee the successful implementation of smart manufacturing, supply chain management and integration.

This study aims to assess the factors that can affect the turnover intention of millennial talents working in the Indonesian manufacturing industry.

This work analyzes 115 responses from millennial talents working in the Indonesian manufacturing industry on the issue of turnover intention. Data were collected through an online questionnaire. The collected data were then tested using partial least square-structural equation modeling.

The findings suggest that competency development, work–life balance and meaningful work have a direct impact on the employee satisfaction of millennials in the Indonesian manufacturing industry. However, compensation and benefits have no significant effect on job satisfaction.

This study has limitations in data collection, concentrated merely in the Jakarta Greater Area. Hence, it would potentially influence the generalization of the results.

This study reveals the potential lack of awareness within Indonesian manufacturing companies in providing a valuable compensation and benefits program for millennials.

The purpose of this study is to provide a framework of managerial responses to the Industry 4.0 phenomenon, which has impacted the productivity of Indonesian manufacturing companies while revolutionizing global industries.

The study employs qualitative research using the Grounded Theory Method since research in this area is still in its preliminary stages. The study elicits insights from 12 operation managers through a semi-structured interview and a focus group discussion. Using content analysis, the study formulates relationships among Industry 4.0 initiatives, its driving factors and challenges as well as critical success factors and the expected benefits.

The findings reveal that Indonesian manufacturers have engaged in Industry 4.0 initiatives: cyber-physical systems, the internet of things, Big Data and cloud computing. These initiatives require managers to adopt best practices, appoint champions as change agents, conduct training and even tailor the job qualifications of their subordinates to suit the current technology.

The qualitative method allows an in-depth investigation that is synthesized into a conceptual framework, but this framework still needs to be empirically tested. The study is currently based on informants from large manufacturing companies. Future studies could scale up the research and validate the findings.

This exploratory framework could guide managers in their strategic and operational decisions while embracing the Industry 4.0 transformation inside the organization.

Prior studies examining the adoption of Industry 4.0 principles by Indonesian manufacturing companies are rare. Furthermore, conceptual studies dominate the existing literature related to the Industry 4.0 concept. This study attempts to fill the gap and provides a framework that is based on grounded empirical data of manufacturing companies in Indonesia, a newly industrialized economy.

The purpose of this paper is to investigate the technical efficiency (TE) of micro and small enterprises (MSEs) and its determinants in the Indonesian manufacturing sector covering comprehensive subsectors.

This research uses the data from the micro and small industry survey sourced from the Indonesian Bureau of Central Statistics for the period 2010–2015. The TE is estimated using data envelopment analysis (DEA) with bootstrapping approach. The TE is also estimated at the firm-level survey data, classified at the five-digit level of the International Standard Industrial Classification system. In addition, a truncated regression model is applied to estimate the effects of the determinants on the TE.

This research finds that there is a low average TE of the MSEs for the subsectors investigated. It is also found that the TE is associated with firm size, location, export orientations on domestic and world markets, firm age, level of technology, and owner education.

The literature investigating the TE of the MSEs and its determinants is still rare in Indonesia. Most of the previous research limited the studies for specific subsectors and/or specific small regions. Therefore, this research has a contribution in measuring the TE of the MSEs for comprehensive subsectors as well as its relation with the determinants in the Indonesian manufacturing sector. Also, the DEA with bootstrapping approach is applied to estimate the TE of the firms based on each relevant subsector, which is rare in the previous research of the Indonesian MSEs.

This study aims to identify and analyse energy intensity in Indonesia’s manufacturing industry based on industrial sub-sector, island region, technology intensity, firm size, type of ownership and exporter status to determine which of these characteristics have the highest potential to decrease energy intensity.

Using firm characteristics data from statistics of large and medium industries in Indonesia, this study decomposed energy consumption of Indonesian firms into economic activity, economic structure and energy intensity for the period 2010–2014 through the logarithmic mean Divisia index (LMDI).

The results showed the decomposed energy intensity based on the six sub-categories. From the sub-categories, several characteristics which induced the most increases in energy intensity are highlighted. Several industrial sub-sectors were classified as highly energy-consuming, including rubber and plastic products, glass and non-metal mineral products, food, electrical machinery and apparatus, chemical, paper, motor vehicles and trailers and tobacco. Results from other sub-categories indicated that firms with high energy intensity were located in the Java--Bali region, had medium technology intensity and were exporters. Meanwhile, firm size and ownership type sub-categories did not show clear differences in energy intensity.

This study provides more focused policy recommendations for related policymakers and stakeholders to emphasise the most energy-inefficient and energy-intensive firm based on the results from each sub-category and hence policy priorities to reduce energy consumption can be well-targeted.

This study contributes to the field through a more thorough energy intensity analysis based on the classification of Indonesian firm characteristics to provide a more detailed insight on the cause of the ever-increasing energy intensity level in the country.

The purpose of this paper is to examine best practices that contribute to the effectiveness of benchmarking in Indonesian manufacturing industries.

A total of 250 questionnaires are distributed to representatives of the Badan Pengelola Industri Strategis (BPIS) registered companies, specifically to the quality managers or production managers that are involved in the benchmarking process in companies.

In total, 155 responded to the questionnaire; that gives a response rate of 51.67 percent. Analysis of the data has shown that some benchmarking practices, e.g. the manufacturing process, and organizational and environmental factors do significantly influence the effectiveness of benchmarking.

Further study needs to be undertaken to identify other best practices of benchmarking. A further limitation of the study is that the survey items are based on the literature review.

A government body such as a benchmarking department (BPIS) can therefore focus on these factors for further development of benchmarking. BPIS Indonesia can organize more training and seminars for smaller manufacturing companies. From an organizational point of view, attention should be given to improving compatibility, employee innovativeness, and government intervention so that the best practices of benchmarking can be used proactively as a strategic tool.

From the findings of this paper, in order for the benchmarking process to be successful, an organization needs these general requirements: top management commitment and support: a solid understanding of the manufacturing operations and requirements for improvement: willingness to share information with benchmarking partners; and dedication to ongoing benchmarking efforts.

This study aims to investigate the integration of corporate social responsibility (CSR) at a functional level and examine its impact on company performance.

Using data from 435 Indonesian manufacturing companies, 11 hypotheses were tested on direct, indirect and total effects of the relationship between functional CSR integration and its impact on company performance. The stakeholder and contingency theories were applied.

The findings of this study reveal that functional CSR integration has a significant impact on customer, employee, operational and financial performances. The findings show that the relationship between functional CSR integration and financial performance can be mediated by customer, employee and operational performances. The results of this study also highlight that functional CSR integration has a stronger total effect on both customer and financial performances in environmentally non-sensitive industries than in environmentally sensitive ones.

This study expands the prior studies by providing a theoretical framework for the relationship between CSR integration and company performance, as well as testing the framework using quantitative research.

The findings can encourage managers to effectively integrate CSR into business functions to achieve superior social and financial performance, particularly in a developing country context.

To the best of the authors’ knowledge, this study is one of the first to empirically investigate the performance implications of integrating CSR into business functions and reveals new findings on how such integration can substantially improve company performance.

The purpose of this paper is to identify and screen continuous innovation capability enablers (CICEs) in Indonesia’s manufacturing sectors, develop a relationship among these enablers and determine their driving power and dependence power in the sector.

The initial CICEs identification process is based on a literature review, while a fuzzy Delphi method (FDM) was used for the screening process of CICEs. Total interpretive structural modelling (TISM) was used to develop contextual relationships among various CICEs. The results of the TISM are used as an input for the matrix of cross-impact multiplications applied to classification (MICMAC) to classify the driving power and dependence powers of the CICEs.

This paper selected 16 CICEs classified in seven dimensions. TISM results and MICMAC analysis show that leadership, as well as climate and culture, are enablers with the highest driving power and lowest dependence powers; followed by information technology. The results of this study indicate that efforts to continuously develop innovation capabilities in the Indonesian manufacturing industries are strongly influenced by their leadership capability, climate and culture, also information technology-related capability.

The framework assessed in this study provides business managers and policymakers to obtain a bigger picture in developing policies with evidence-based strategy and priority in regard to continuous innovation capability.

The results will be useful for business managers and policymakers to understand the relationship between CICEs and identify key CICEs in Indonesia’s manufacturing sectors, which were previously non-existent.

The purpose of this paper is to investigate the relation between industrial concentration and technical inefficiency in the Indonesian food and beverages industry using a dynamic performance measure (dynamic technical inefficiency) that accounts for the presence of adjustment costs.

This research uses panel data of 44 subsectors in the Indonesian food and beverages industry for the period 1980-2014. The dynamic input directional distance function is applied to estimate the dynamic technical inefficiency. Further, the Granger causality between industrial concentration and dynamic technical inefficiency is tested using a dynamic panel data model. A bootstrap truncated regression model is finally applied to estimate the relation between industrial concentration and dynamic technical inefficiency based on the results from the Granger causality test.

The results show that the Indonesian food and beverages industry has a high dynamic technical inefficiency. Investigation of the causality of the relation shows that industrial concentration has a positive effect on dynamic technical inefficiency at the subsector level, with no reversed causality. The results suggest that the quiet life hypothesis applies to the Indonesian food and beverages industry.

The literature investigating the relation between industrial concentration and performance relies on static measures of performance, such as technical efficiency. Static measures provide an incorrect metric of the firms’ performance in the presence of adjustment costs associated with investment. Therefore, this research has a contribution in measuring dynamic technical inefficiency that accounts for the presence of the adjustment cost as well as its relation with industrial concentration in the Indonesian food and beverages industry.

Supply chain integration (SCI) is a set of practices driven by many factors and circumstances. The purpose of this paper is to examine firms’ internal and external drivers of SCI, evaluate the impact of the integration on firm performance, and further investigate the moderating role of organizational culture in strengthening the relationships between firms’ drivers and SCI.

For the purpose of this study, manufacturing firms were identified as the focal firms in supply chains, and thus data were collected through a survey of 223 Indonesian-based manufacturing firms. Two informants from each firm became the respondents. Structural equation modeling was used to analyze the data.

This study confirmed the positive relationship between SCI and firm performance. The results also indicated that internal driver, or specifically firms’ customer orientation (CO), triggered the initiation of SCI. Organizational culture, in terms of external focus, positively influenced the relationship between CO and SCI.

This study illustrates the important role of organizational culture in determining the shape of the relationship between firms’ drivers and SCI. The results of this study enhance the understanding of SCI, especially related to types of organizational culture that could promote the integration.

This study brings a different dimension of SCI as this study provides evidence from a developing country, which might implement different practices as compared those of developed countries. This study provides a measure of internal drivers, which has not been empirically investigated. The new measure was tested and validated using a rigorous process, and thus could be employed in other studies with different settings.