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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.

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.

This research attempts to examine bank dividend policy in Indonesia by applying the life cycle theory of dividends.

This research used secondary data gotten from two sources: banks’ annual financial statements from 2005 to 2019 and the number of observation samples was 510 from 42 banks. Random Effects Logit Model (RELM) is used to detect the influence of independent variables on Propensity to Pay Dividends (PPD) and Random Effects Tobit Model (RETM) is used to test the influence of independent variables on Dividend Payout Ratio (DPR).

The RELM results show that Retained Earnings to Total Equity (RE/TE), Retained Earnings to Total Asset (RE/TA) and bank age have a positive impact on the propensity to pay dividends (PPD) while bank growth (GRW) has a negative impact. The RETM results reveal that RE/TE, ROA and bank size have a positive impact on the dividend payout ratio (DPR) while GRW has a negative impact. This analysis also discovers that the capital adequacy ratio (CAR) and Non-performing Loans (NPL) is one important factor considered by banks in Indonesia in determining their dividend policy.

This study contributes to enriching literature in finance, especially in the life cycle theory of dividends. Also, it can be a guide to consider by investors before deciding to put their shares in banks in Indonesia.

Research on bank-specific life cycle theory is very difficult to find, especially in the Indonesian context, so this research can enrich the body of knowledge on dividend decisions.

This study aims to examine the influence of ownership structure and board characteristics on the performance of Indonesian Islamic rural banks (IRB) using the system generalized method of moment model.

This research uses Indonesian IRB unbalanced annual panel data from 2016 to 2022. IRB performance is measured by return on assets (ROA), return on equity (ROE) and nonperforming financing (NPF). The ownership structure is represented by controlling shareholders, ownership of the board of directors (BD) and ownership of the board of commissioners (BC). Meanwhile, board characteristics are represented by the size of the BC, the proportion of female board directors and female president directors.

The results show that the ownership structure and board characteristics play an important role in improving the IRB’s performance. Technically, the results show that the size of the BC and the ownership of the BD increase all IRB performance measures. Female president directors and controlling shareholders improve IRB’s performance as measured by ROA and ROE. Women’s boards of directors improve IRB performance as measured by NPF. Meanwhile, the ownership of the BC does not show its effect on all IRB performance measures.

This study fills a literature gap on the influence of ownership structure and board characteristics on IRB Indonesia’s performance. In addition, it adds understanding and insight for Islamic bank regulators, management and IRB depositors in Indonesia.

To the best of the authors’ knowledge, this study is one of the first to provide an empirical survey on the influence of controlling shareholders and board characteristics on IRB performance, particularly in Indonesia.

This study attempts to examine the relationship between board characteristics and dividend payout decisions of conventional and Islamic banks.

This study employed unbalanced panel data of both Indonesian conventional and Islamic banks over the period 2008–2021, estimated using tobit and logit models. Dividend payout decisions were measured using the dividend payout ratio and probability to pay dividends. Meanwhile, board characteristics were represented by board size, board independence, board gender diversity, board meeting, board chairman tenure and board chairman tenure.

The results show that, in the context of conventional banks, board meetings, board chairman tenure and board chairman tenure are correlated with higher dividend payout decisions, while board gender diversity indicates lower dividend payout decisions. On the other hand, in the context of Islamic banks, board size and board meetings are associated with higher dividend payout decisions, while board independence and board chairman tenure are related to lower dividend payout decisions.

This study fills the gaps in the literature on bank dividend policy. It also provides additional insights regarding the relationship between board characteristics and dividend payout decisions in the context of conventional and Islamic banks. In addition, this study gives essential contributions to regulators and investors of both banks, especially in a developing country, Indonesia.

This study is one of the first to provide empirical results regarding the relationship between board characteristics and dividend payout decisions of conventional and Islamic banks. Board characteristics are indicated as one of the fundamental factors that determine dividend payout decisions of both conventional and Islamic banks in Indonesia.

This paper aims to integrate and examine three loyalty routes (i.e. service quality, emotional attachment and religiosity) in developing customer loyalty towards Islamic banking.

Data were collected from 412 Islamic bank customers from Indonesia. Variance-based structural equation modelling was applied to evaluate the association between service quality, emotional attachment, religiosity and customer loyalty.

This study reveals that customer loyalty is more driven by emotional attachment and religiosity rather than by perceived service quality. Although not directly affecting customer loyalty, service quality strengthens customer satisfaction towards Islamic banks.

This study provides an opportunity for Islamic bank managers to increase their customer loyalty through the development of emotional attachment and religiosity. To improve customer loyalty, this study suggests that Islamic banks have to provide prompt, accurate and non-personal service. It is also important for Islamic bank managers to keep the bank operation compliant with the Sharia law.

This study is the first attempt to assess the three loyalty routes simultaneously in influencing customer loyalty.

This study aims to explore the correlation between Management Control Systems, Green Innovation, Social Media Networks, and Company Performance in medium-sized construction and real estate firm in Indonesia.

This research method uses quantitative approach. The sample selection technique uses simple random sampling. The analytical method in this study uses structural equation models based on variance. Statistical test tool used, is Smart PLS 3.0.

The management control systems have a significant and positive impact on social media networks, green innovation, and company performance in the upper-middle-class construction and real estate businesses in Java. Furthermore, social media networks and green innovation were found to mediate the strong relationship between management control systems and firm performance in medium-sized construction and real estate businesses in Java.

This research should provide a detailed, technical, and structured explanation of how companies assess suitability standards for implementing green innovation in Indonesia’s construction and real estate sectors.

The finding emphasize the importance of the management control system in enhancing firm performance. If, the elements of the management control system are met or adequate, it can improve the performance of those in charge, leading to satisfactory performance.

This finding is the first of its kind in Indonesia. It will contribute to shaping future development policies for government and private projects, ensuring they are more advance and environmentally conscious.

This study aims to extend the Theory of Planned Behavior (TPB) with the Norm Activation Theory (NAT) and apply these two theories to explain Gen Z’s intention to reduce household food leftovers.

Primary data were collected online from 386 respondents, selected through a convenience sampling technique from June to August 2023. Established indicators measured each construct adequately, and hypotheses were examined by using a structural equation model with robust maximum likelihood estimation.

Attitude toward behavior, perceived behavioral control and personal norms built by awareness of consequences and ascription of responsibility were proven to be able to form the intention to reduce household food leftovers. Extending the TPB with the NAT revealed that intention was built based on attitudinal belief, control belief and a feeling of moral obligation that activates personal norms.

Respondent validity needs to be strengthened; injunctive and descriptive norms are still integrated, and the translation of intention into action is yet to be examined

Social marketers boosted behavior change campaigns among Zoomers by emphasizing moral responsibility, promoting awareness and favorable behavioral beliefs through tailored messages and highlighting the ease of reducing household food leftovers.

This study bridged existing research gaps by extending the TPB with the NAT in the context of household routine consumption practices. It offered valuable insights for promoting responsible consumption and reducing household food leftovers among the youth.

This research paper aims to examine the effect of chief executive officer (CEO) characteristics on earnings management.

Research samples are manufacturing firms listed in the Indonesian Stock Exchange 2015–2021. CEO characteristics include narcissism, gender, age, tenure, experience, nationality and founding family status. Data analysis uses random-effect regression.

The result shows that higher narcissism CEOs have aggressive characteristics so they will be more likely to engage in accrual and real earnings management. Female CEOs, foreign CEOs and founding-family CEOs have higher monitoring and business ethics characteristics so they will be less likely to engage in accrual and real earnings management. CEOs with higher education levels have higher thinking complexity so they will be more likely to engage in accrual earnings management with higher regulator and auditor monitoring barriers than real earnings management. CEOs with financial and accounting experience are familiar with accounting standards and auditor monitoring barriers so they will be more likely to engage in accrual earnings management than real earnings management. On the other hand, there are no effects of CEO age and tenure on earnings management.

This research contributes to providing evidence of the effect of CEO characteristics on earnings management in a specific industry such as manufacturing firms and emerging markets such as Indonesia with the majority group firms being family firms.

This paper aims to develop a framework for critical information infrastructure (CII) protection in smart government, an alternative measure for common cybersecurity frameworks such as NIST Cybersecurity Framework and ISO 27001. Smart government is defined as the government administration sector of CII due to its similarity as a core of smart technology.

To ensure the validity of the data, the research methodology used in this paper follows the predicting malfunctions in socio-technical systems (PreMiSTS) approach, a variation of the socio-technical system (STS) approach specifically designed to predict potential issues in the STS. In this study, PreMiSTS was enriched with observation and systematic literature review as its main data collection method, thematic analysis and validation by experts using fuzzy Delphi method (FDM).

The proposed CII protection framework comprises several dimensions: objectives, interdependency, functions, risk management, resources and governance. For all those dimensions, there are 20 elements and 41 variables.

This framework can be an alternative guideline for CII protection in smart government, particularly in government administration services.

The author uses PreMiSTS, a socio-technical approach combined with thematic analysis and FDM, to design a security framework for CII protection. This combination was designed as a mixed-method approach to improve the likelihood of success in an IT project.