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This study aims to analyze how ready a firm is to transform into Industry 4.0 using the Readiness Index (INDI 4.0) assessment. It also investigates the differences (before and after) of the program “Making Indonesia 4.0” in 2018 in socioeconomic and demographic aspects.

The INDI 4.0 assessment involved a self-evaluation by 622 companies across 13 industry sectors, subsequently verified by the Ministry of Industry. This study incorporates discussions with industry experts to enhance the interpretation of the analytical findings.

This study explores the interrelation among the components of INDI 4.0 across different levels, assessing the readiness of each sector for Industry 4.0. The findings reveal the diverse impact of implementing Industry 4.0 in Indonesia on socioeconomic and demographic aspects. Furthermore, the study proposes several policy recommendations for the Indonesian government’s consideration.

This study’s scope is confined to the industrial context of Indonesia, as the assessment components are tailored to the specific characteristics and culture of the country’s industry. Subsequent research endeavors can leverage this study as a foundational reference, adapting the components to align with the particular interests of other nations.

Businesses, especially those in Indonesia, can employ these findings to evaluate their position in the context of Industry 4.0 transformation compared to their industry. Simultaneously, the Indonesian government can use these results as a starting point to evaluate and potentially enhance their policies related to Industry 4.0. We recommend five policy proposals for the Indonesian government: diversifying measurement models, shifting terminology, emphasizing soft skills, promoting continuous learning and implementing Center of Digital Industry Indonesia 4.0 (PIDI 4.0) initiatives.

This study offers a broad impact of Industry 4.0 implementation in socioeconomic and demographic aspects in Indonesia, such as income, job-shifting, age, educational background and gender.

To the best of our knowledge, no prior research has explored the repercussions of industrial implementation on socioeconomic and demographic facets.

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.

The development of financial technology (fintech), especially digital payments (e-payments), aims to increase the efficiency and effectiveness of economic transactions. This study aims to see the extent to which microentrepreneurs in Indonesia and Malaysia take advantage of the existence of e-payments in developing their business and the factors that influence the adoption of e-payments.

This study uses qualitative and quantitative approach. For quantitative approach, partial least squares structural equation modeling (PLS-SEM 4.0) was used to analyze the data. Using the nonprobability convenient sampling technique, this study collected 400 respondents from microenterprises in Indonesia and Malaysia in various regions.

Most of the microentrepreneurs in Indonesia and Malaysia have used fintech platforms, especially e-wallet and ATM debit. However, for quick response code-based fintech for business transactions, most microentrepreneurs have not taken advantage of the platform. Then the results of the digital payment adoption factor also differ for each country.

This study is valuable for decision-makers and regulators. These results can be used to find a roadmap for regulators to build a digital economy, especially digital payments for microenterprises in both countries. In addition, these results can be used as a basis for making policies regarding digital payments.

To the best of the authors’ knowledge, this is the first study to compare e-payment adoption by microentrepreneurs in Indonesia and Malaysia. Indonesia and Malaysia are two countries in the Southeast Asia region that have great attention in fintech development. This study provides new insights about fintech, especially digital payments as a strategic approach in the digitalization era.

The purpose of this study is to assess small and medium-sized enterprises (SMEs) owners’ intentions to participate in waqf, involving two countries, which are Malaysia and Indonesia, using the theory of planned behavior. SMEs are the backbone of many economies, representing 95% of all companies worldwide and accounting for 60% of employment. Based on this fact, this paper analyzes the influence of religiosity, knowledge and attitude to predict the intentions of SMEs’ owners in waqf participation in Malaysia and Indonesia.

Data were randomly obtained from 175 SMEs owners from Malaysia and Indonesia with the Statistical Package for the Social Sciences (SPSS) used for analysis.

The empirical analysis data suggest that knowledge and attitude show a significant impact on the intentions of SMEs’ owners to participate in waqf, while religiosity does not have a significant impact on the intentions of Malaysian and Indonesian SMEs’ owners to participate in waqf.

This study aims to assist SMEs in Malaysia and Indonesia to formulate appropriate strategies and marketing using waqf for the sustainability of SMEs which represent more than 90% of business establishments in both countries. The strategy is a necessity, especially because the government is targeting to promote a sustainable Islamic financial system, improve governance policy and halal industry for SMEs, strengthen the development of Malay Reserve land, providing as financial independence to higher learning institutions and invest in digitalization and advanced technology through waqf funds. Therefore, both countries should take the initiative to provide training to equip SMEs with extensive knowledge through multiple platforms to further encourage their participation in waqf.

Because of the increasing interest in waqf participation both in Malaysia and Indonesia, this study claims three essential contributions. First, it aims to examine the intention of SMEs in waqf participation among the business owners in Malaysia and Indonesia. Second, the study findings are expected to benefit the development of literature in accordance with Islamic social finance, particularly waqf. Third, this study provides an insight into the inclusive knowledge and attitude of SME owners and their intention to participate in waqf.

This paper aims to use text mining methods to explore the similarities and differences between countries’ national digital transformation (DT) and Industry 4.0 (I4.0) policies. The study examines the applicability of text mining as an alternative for comprehensive clustering of national I4.0 and DT strategies, encouraging policy researchers toward data science that can offer rapid policy analysis and benchmarking.

With an exploratory research approach, topic modeling, principal component analysis and unsupervised machine learning algorithms (k-means and hierarchical clustering) are used for clustering national I4.0 and DT strategies. This paper uses a corpus of policy documents and related scientific publications from several countries and integrate their science and technology performance. The paper also presents the positioning of Türkiye’s I4.0 and DT national policy as a case from a developing country context.

Text mining provides meaningful clustering results on similarities and differences between countries regarding their national I4.0 and DT policies, aligned with their geographic, economic and political circumstances. Findings also shed light on the DT strategic landscape and the key themes spanning various policy dimensions. Drawing from the Turkish case, political options are discussed in the context of developing (follower) countries’ I4.0 and DT.

The paper reveals meaningful clustering results on similarities and differences between countries regarding their national I4.0 and DT policies, reflecting political proximities aligned with their geographic, economic and political circumstances. This can help policymakers to comparatively understand national DT and I4.0 policies and use this knowledge to reflect collaborative and competitive measures to their policies.

This paper provides a unique combined methodology for text mining-based policy analysis in the DT context, which has not been adopted. In an era where computational social science and machine learning have gained importance and adaptability to political and social science fields, and in the technology and innovation management discipline, clustering applications showed similar and different policy patterns in a timely and unbiased manner.

Industry 4.0 is recognised as a competitive strategy that helps implementers optimise their value chain. However, its adoption poses several challenges. This study investigates and ranks the drivers and barriers to implementing Industry 4.0 in the Thai sugar industry, the world's second-largest sugar exporter. It also evaluates the industry's readiness for Industry 4.0.

The drivers and impediments were identified based on a systematic literature review (SLR) and further investigated using a questionnaire, expert interviews, Pearson's correlation and nonparametric statistical analyses. The IMPULS model was used to assess the industry's readiness.

Most companies expect to minimise costs, develop employees and improve various elements of operational performance and data tracking capability. Thai sugar producers are still at a low readiness level to deploy Industry 4.0. High investment is the major challenge. Small businesses struggle to hire competent employees, collaborate with a highly credible technology provider and adapt to new solutions.

The findings can serve as a benchmark or guide for sugar manufacturers and companies in other sectors, where Industry 4.0 technologies are not yet widely utilised, to overcome existing roadblocks and make strategic decisions. They can also assist governments in developing policies that foster digital transformation and increase national competitiveness.

There is a scarcity of research on Industry 4.0 execution in the sugar industry. This study addresses this gap by investigating the reasons for the hesitancy of sugar producers to pursue Industry 4.0 and proposing solutions.

The purpose of this paper is to understand a new restaurant venture's target segment and create a consumer profile for the new restaurant; to design a positioning statement for the new restaurant; to appraise the marketing strategy and suggest improvements in the marketing mix of a new restaurant venture in the new normal; to discuss the augmentation of services by a new restaurant to compete effectively in the market; and to identify and discuss the vital marketing steps for opening a restaurant in the new normal.

Kelvin, an ambitious and budding restaurateur, had high aspirations with great plans. V café was his first running venture. The income from V café was not enough to improve his social position. He wanted to open a new restaurant (Haikou) and earn more. Kelvin was well aware of COVID-19's current condition and its severe implications for the restaurant business. He did not have any experience in marketing a restaurant. So he was puzzled about understanding the target segment, positioning and marketing mix of the proposed restaurant in the new normal.

The case will cater to business management students pursuing a postgraduate management program. The case can be applied in Marketing Management, Entrepreneurship, Hospitality Management and Services Marketing courses. The prerequisite for this case is a basic understanding of marketing concepts.

Supplementary materials teaching notes are available for educators only.

CSS 8: Marketing

The purpose of this study was to investigate how chief executive officer (CEO) characteristics, including age, education, nationality and particularly gender, influence firm performance in a developing Southeast Asian Country (Indonesia).

The study uses balanced firm-level panel data for 203 nonfinancial companies listed on the Indonesia Stock Exchange from 2010 to 2020. Return on assets, return on equity and Tobin’s Q were used to measure firm performance. The data were analyzed using panel data regression analysis, including a fixed effects model with clustered standard errors.

The results indicate that female CEOs, education and nationality enhance firm performance, while CEO age can either improve or reduce firm performance. Numerous robustness checks were performed; the results were consistent with those in the main analysis.

Individual characteristics should be considered when appointing CEOs. Some CEO characteristics enhance firm performance. Female CEOs bring new perspectives, while older CEOs’ longer experience adds a competitive advantage. More educated CEOs have a better ability to deal with challenging intellectual activities, and CEOs from foreign countries better understand international market regulations. However, some characteristics may reduce firm performance, for example, older CEOs are more conservative and unable to adapt to changing business environments.

This study contributes to corporate governance studies by synthesizing CEO characteristics and investigating their relationship with firm performance. Moreover, it emphasizes that developing countries such as Indonesia have different economic, legal, social and cultural environments than developed countries, especially Western countries.

The proponents of cash waqf speak highly about its huge potential for mobilizing the third sector of the economy to fund the socio-economic development agenda. However, the under-collection issue has been characterizing the cash waqf movement globally. This study aims to examine how understanding the distinct cash waqf donating behavior across different generations has the potential to address the problem.

This study extends the theory of planned behavior by adding religiosity and knowledge variables into the standard model, using the partial least square structural equation modeling. A survey is conducted on 684 respondents representing the main provinces in Indonesia and four major generations (Baby Boomers [BB], Generations X, Y and Z).

Religiosity, Knowledge, Attitude, Subjective Norms and Perceived Behavioral Control directly or indirectly affect cash waqf intention. The effect is contingent on the characteristics of generations.

This study covers only the Indonesian case with limited coverage of the more heterogeneous provinces in the country. The sample distribution for BB can also be enlarged.

Cash waqf institutions (government and private) should apply the dynamic segmenting strategy, where the diversification of the promotion, marketing, awareness and approaches are contingent on the different characteristics of each generation.

To the best of the authors’ knowledge, this is the first study evaluating the intergenerational determinants of Intention toward cash waqf, particularly in Indonesia.

This study aims to analyze the effect of religiosity (RE), halal knowledge (HK) and halal certification (HC), attitudes, subjective norms and vaccine quality on the Muslim community’s intention to use halal vaccines in Indonesia.

This study involved 725 Muslim respondents in 32 Indonesian provinces. The model used was based on the theory of reasoned action development with the partial least squares structural equation modeling as the data processing tool.

The study discovered that RE, HK and HC did not affect the intention of Muslims to use halal vaccines. In addition, the MUI (Majelis Ulama Indonesia – Indonesia Council of Ulama) fatwa permitting the use of the AstraZeneca vaccine despite the haram ingredients was considered an excuse for Muslims to administer non-halal vaccines. However, several parties disagreed on the fatwa because the emergency legal standing for its permissibility did not apply to all regions. The reason was that each had different rates of confirmed cases, ranging from high-risk areas to those with zero confirmed Covid-19 cases.

This study examines the Muslim community’s intention toward using halal vaccines in several regions in Indonesia. In addition, this study conducted in-depth interviews as samples in several regions. This study also conducted interviews to determine the public’s views on government obligation about the Covid-19 vaccine. Finally, this study proposes a vaccine to avoid the possibility of controversy over the use of non-halal vaccines.