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The oxidation kinetics and microstructure characteristics of oxide scales thermally grown on the surface of developed FeCr alloy were investigated at 900 °C. The influence of difference sintering technique, i.e. spark plasma sintering and hot pressing, to improve nanostructured alloy performance was studied. The La-implantation was also considered in this study. It was found that the SPS sintered sample showed better performance than the HP sintered sample. Moreover, it also found that a combining of La-implantation and nanostructured alloy was most beneficial. While nanostructured alloy reduced the oxidation rate, the La-implantation increased the Cr₂O₃ scale conductivity.

The study principally aims to investigate the relationship among work–life balance (WLB), job satisfaction (JS) and employee commitment (EC) among the railway staff by integrating the social exchange theory (SET). The study also explores JS as a mediator in the context of the new normal.

A mixed-method sequential explanatory design was utilized for this study. The research instrument was administered to 533 railway employees, using purposive sampling to ensure reliability and validity. Structural equation modeling (SEM) was employed to analyze the quantitative data and measure mediation effects. Additionally, 15 interviews were conducted with employees from three job positioning groups (A, B and C) to gain further insights into commitment-related concerns.

The study found that WLB and JS positively influenced EC, with JS acting as a mediator between WLB and EC. Furthermore, factors such as fostering friendships among colleagues, effectively managing work–life integration and recognizing the importance of job roles were identified as crucial in enhancing the relationship between WLB and EC.

The study includes SET to examine the social exchange process while considering WLB benefits as a reward from the employer and EC as the outcome of this reward. This study contributes by examining the effects of COVID-19 on the railway industry and EC. The mixed-methods sequential explanatory design gave a comprehensive understanding of the relationships between WLB, JS and EC. The study’s implications highlight the importance of implementing supportive policies, such as flexible work schedules and a supportive organizational culture, to enhance employee commitment and reduce attrition rates. The study emphasizes the significance of prioritizing employee well-being to achieve organizational goals and enhance organizational commitment.

This paper aims to reveal the effect of organizational learning on market orientation, job satisfaction on market orientation, organizational learning on business innovation, job satisfaction on business innovation and market orientation on business innovation.

Research was designed to use quantitative approach to understand causal relationship of variables. partial least squares structural equation modeling (PLS-SEM) was used to facilitate this approach. Questionnaire was given to 46 dairy cattle milk cooperatives in East Java, Indonesia.

Research findings are explained as follows: both high organizational learning and high job satisfaction can produce high market orientation, organizational learning reduces business innovation, job satisfaction increases business innovation and market orientation reduces business innovation of dairy cattle milk cooperatives in East Java, but this reduction is not statistically significant.

This research has identified that business innovation is affected by job satisfaction, while market orientation is affected by organizational learning and job satisfaction. Next research shall be conducted on another business type or business group but in greater population.

It is expected that the results of this research will provide guidance for dairy cattle milk cooperatives in East Java concerning with how to improve market orientation and business innovation based on organizational learning and job satisfaction.

This research has determined factors that affect market orientation and examined its impact on business innovation after observing the aspects of organizational learning and job satisfaction.

The purpose of this paper is to measure and evaluate the relationship between collaborative communication, power dependence, price satisfaction, trust, supplier loyalty, and business performance.

Data used in this study were primary data which were collected through personal interviews and closed questionnaires using a five-point Likert scale ranging from 1 to 5. The sample consisted of 170 individual dairy farmer and several dairy cooperatives, which were located in Central Java Province (Boyolali and Semarang Districts) and West Java Province (West Bandung District). The study used partial least squares with the aid of the SmartPLS software program to analyze the hypothesis.

The results of hypothesis testing indicate that collaborative communication and price satisfaction had a significant positive effect on trust for Central Java and West Java Province. Meanwhile, power dependence had a significant negative effect on trust only for West Java Province. Trust had a significant positive effect on supplier loyalty for both of the two provinces. Significant positive effect of supplier loyalty on business performance was supported in Central Java Province, whereas in West Java Province, supplier loyalty had a positive but not significant effect on business performance.

The limitation of this study is related to the number of samples, the type of scale used to measure a business performance, and the focus that is only on the relationship between the fargmers and cooperative to improve the performance of cooperative without considering the role of management. So, the future research may replicate this study in another region or in the other contexts of agribusiness sector that usually depends on farmer as a producer of the raw material. It may also enhance the measurement of business performance of dairy cooperative by using a direct measure of financial performance and non-financial performance and broaden the scope of research into the role of management of dairy cooperative.

It is recommended that managers of dairy cooperatives always involve the farmers when making marketing decisions especially concerning prices, products, market, and promotion. As organizational stakeholders, their involvement is vital in determining the ability of the dairy to achieve its goals. The other recommendation is the managers of cooperatives must have a clear policy on the price of milk, and this policy should indicate the transparency and accountability. Then, regarding the long-term benefit of dairy cooperative, it is recommended for dairy cooperatives to add the value of the milk so they can access wider markets, which, in turn, will maximize returns to the members. Based on this recommendation, it is better if the dairy cooperative in Indonesia not only serves as a marketing cooperative, but also serves as a farm supply cooperative which may process or formulate the milk into a more valuable product.

The research confirms that individual dairy farmer’s loyalty can benefit the business of dairy cooperative. It may encourage more dairy cooperative to tap the good relationship with the individual dairy farmer at the initial stage of the economic growth of their business. Intensifying competition between dairy cooperatives would potentially bring even better quality and quantity of milk from the loyal dairy farmer.

Although this research used the conceptual model from the previous study, this research will make some improvement. First, it used more indicators to measure each dimension of the construct, and the investigation was slightly more complex and broader since the object of the research was represented by two regions, namely, Central Java Province and West Java Province.

The purpose of this paper is to measure and evaluate the performance of the relationships between farmers, dairy cooperatives and industrial milk processors.

Data used in this study were primary data collected through personal interviews and closed questionnaires with 1–5 Likert scale. The sample consisted of the representative of the management of 12 dairy cooperatives located in Central Java Province, representative of the management of 12 dairy cooperatives located in West Java Province and some farmers who are members of those dairy cooperatives. This study uses balanced supply chain management scorecard for measuring the performance of dairy supply chain, importance-performance analysis (IPA) for identifying the indicators that are most in need of improvement, and strength, weakness, opportunity and threat (SWOT) analysis for formulating strategic planning.

The results of balanced supply chain management scorecard combined with IPA analysis showed that the performance relationship between farmers, dairy cooperatives and industrial milk processors in West Java Province is slightly better than that in Central Java Province. It can be seen from the average value of the score of indicator, the category of each indicator and the category of the performance index of each relationship. The major weakness of the relationship between dairy farmers, cooperatives and industrial milk processors in Central Java Province lies in the different perspective (no perspective is dominant), whereas that in West Java Province is dominated by the perspective of the customer. On the other hand, the major strength of the relationship in Central Java Province is dominated by the perspective of the customer, whereas that in West Java Province is dominated by the perspective of learning and growth.

The limitation of this study is related to the number of the dairy cooperatives as the sample and the type of scale used to measure the performance of the relationships between farmers, dairy cooperatives and individual milk processors. So, the future research may replicate this study by surveying all the dairy cooperatives in Central Java and West Java Provinces. It may also enhance the measurement of the performance of the relationships by using a direct measure of each indicator in each perspective, rather than recording the management of dairy cooperative perceptions.

This research provides essential insights for the management of dairy cooperative in the context of strategic planning development. The research reveals that there is a different strategic planning for improving the performance of the relationship between dairy farmers, cooperatives and industrial milk processors in each province. It depends on the major weakness and strength of the relationships, and also, opportunity and threat faced by the dairy industry. One important thing, the management of dairy cooperative in both provinces should have strategic planning related to the use of machine milking by farmers to improve the milk quality.

The research revealed that strategic planning could be built after analyzing the internal and external conditions carefully. It may encourage more dairy cooperatives to measure and analyze the internal and external conditions at the bottom of strategic planning of their business.

Although this research only used the balanced supply chain management scorecard and IPA analysis for measuring the performance, and SWOT analysis in formulating the strategic planning for improving the current performance, it will make a difference. First, instead of measuring the performance of dairy cooperatives, this research measured the performance of the relationships between dairy farmers, cooperatives and industrial milk processors. This way, the dairy cooperatives were only sources of data collection. Second, the investigation was quite complicated since the objects of the research were represented by the relationships between farmers, dairy cooperatives and industrial milk processors in Central Java Province and West Java Province.

The insurgence of the COVID-19 pandemic insinuated that family-owned small hotels (F-OSH) should adopt AI capabilities and innovation activities and digitize their operations to survive. This study examines the potential of AI capabilities to digitally transform F-OSHs by leveraging innovation ambidexterity, preparing them for future disasters proactively. Additionally, it sheds light on how the impact of AI capabilities on innovation ambidexterity varies based on strategic fit. In addition, this research explores the influence of digital entrepreneurial intention on fostering innovation ambidexterity, essential for digital transformation in F-OSHs.

The study collected primary data from 318 descendant entrepreneurs designated as chairpersons or managing directors in F-OSH and analyzed the data using the partial least structural equation modeling technique.

This study found a positive association of AI capabilities, and digital entrepreneurial intention with the digital transformation of F-OSHs, while strategic fit does not have an association with innovation ambidexterity. Innovation ambidexterity mediates the relationship between AI capabilities and digital transformation in F-OSHs. Moreover, a strong strategic fit increases the effect of AI capabilities on innovation ambidexterity. Furthermore, a high intention for digital entrepreneurship reduces the impact of innovation ambidexterity on the digital transformation of F-OSHs.

The combination of AI capabilities and innovation ambidexterity has transformed F-OSHs' digital transformation. This proactive approach to dealing with economic recessions such as COVID-19 is also influenced by digital entrepreneurial intention and strategic fit.

Anchored on the dynamic capability theory, this study provides valuable insights and novel empirical evidence by investigating the mediating mechanism of innovation ambidexterity and boundary condition of strategic fit and digital entrepreneurial intention between AI capabilities and digital transformation in F-OSHs.

Applying the Stimulus–Organism–Response (SOR) model, this study aims to explore how AI-driven stimuli (e.g. ChatGPT adoption in entrepreneurship and perceived AI competencies) stimulate individuals’ cognitive organisms (e.g. digital entrepreneurial opportunity exploration and exploitation), and how these individually, congruently, and incongruently trigger their behavioral responses (e.g. nascent digital start-up activities).

Utilizing a sample of 1326 MBA students in Vietnam with a stratified sampling approach, multiple linear regression and polynomial regression with response surface analysis were used to test hypotheses.

The findings reveal that ChatGPT adoption in entrepreneurship and perceived AI competencies have a positive and significant impact on individuals’ digital entrepreneurial opportunity exploration and exploitation, which in turn, positively affects nascent digital start-up activities. Moreover, the study also reports that digital entrepreneurial opportunity exploration and exploitation can be congruently combined with each other to trigger the effects of nascent digital start-up activities.

Some valuable recommendations based on the findings have been provided for practitioners and policymakers.

The study contributes to the academic landscape by validating the SOR model within the context of AI adoption and entrepreneurship. It emphasizes the sequential processes of stimulus, cognitive responses, and behavioral outcomes, shedding light on nuanced effects in the digital entrepreneurial landscape.

This study aims to investigates the impact of felt obligation for constructive change, constructive voices on social media and social media knowledge competence on digital social entrepreneurship among Indonesian youth.

This study uses Hayes’ process model to assess the stated hypotheses using survey data gathered from 489 Indonesian youth.

Youth with elevated social media knowledge competency might display diminished motivation to participate in digital social entrepreneurship, even when their felt obligation for constructive change remains robust. While promotive voice on social media mediates the relationship between felt obligation and digital social entrepreneurship, the notable absence of a mediating role for prohibitive voice on social media contradicts traditional Positive Youth Development (PYD) theory

This research challenges conventional PYD theory by suggesting that youth with high social media knowledge competence may have reduced motivation for digital social entrepreneurship, despite a strong commitment to positive change. While promotive voice behavior mediates the relationship between felt obligation and digital entrepreneurship, the absence of mediation by prohibitive voice contradicts traditional PYD principles. This study expands the PYD framework, highlighting the challenges related to social media knowledge competence and prohibitive voice in engaging youth advocates for digital social entrepreneurship. It emphasizes the need to adapt PYD theory to address the complexities of the digital age effectively.

The findings offer valuable insights for students, aspiring young entrepreneurs, educators and policymakers interested in advancing the development of digital social entrepreneurship in a developing nation.

This research offers valuable practical implications for policymakers, educators and society. It suggests the importance of nurturing a sense of responsibility among young individuals, enabling their active involvement in addressing issues like environmental degradation and discrimination. Creating supportive online communities for collaboration and constructive voice behavior on social media can provide judgment-free environments. Additionally, advocating for partnerships between youth and various stakeholders can boost resources, mentorship and funding opportunities, enhancing the prospects for impactful digital social entrepreneurship.

This study contributes to an underexplored area in the field of social entrepreneurship by investigating the intersection of youth, digital advocacy and digital social entrepreneurship. The incorporation of the PYD theory introduces a novel dimension to recent research in this domain

This study aims to investigate the digital entrepreneurial intentions of Albanian youth, identify the obstacles they face in starting digital businesses and examine their preferences regarding the types of businesses they aspire to establish. The Theory of Planned Behavior (TPB) is used as a framework to analyze these factors.

Primary data were collected via questionnaires distributed in public and private universities. In a sample of 325 students, Structural Equation Modeling with Confirmatory Factor Analysis, path analysis and machine learning-based text analysis were used.

This study reveals significant impacts of innovativeness, attitude towards entrepreneurship, subjective norms, perceived behavioral control and self-efficacy on digital entrepreneurial intentions among Albanian students. Additionally, text mining highlights a strong preference for digital entrepreneurship.

The theoretical contributions of this study include applying Structural Equation Modeling to reveal insights into the impact of entrepreneurial factors and obstacles. The findings can inform policymakers and educators in designing targeted interventions to support student entrepreneurship. Meanwhile, the limitations of this study encompass a small sample size, lack of time series and panel data and the absence of an evaluation of the impact of education system practices, along with the need to investigate the effects of young population emigration from Albania to the EU.

This research contributes to the understanding of digital entrepreneurial intentions and behavior by using TPB in the Albanian context, offering access to a diverse dataset from Albanian universities, testing the direct impact of innovativeness on entrepreneurial behavior and pioneering the use of machine learning techniques for text analysis. Thus, it provides novel insights into the entrepreneurial landscape in Albania. In addition, this work can drive initiatives to support student entrepreneurship and bridge the gap between academia and industry in Albania.

The purpose of this paper is to explore the long-run relationship and causality between economic activity and inbound tourism in the context of the Indonesian economy with a new quantitative methodology.

This research applies a new modified bounds testing approach of Pesaran et al. (2001) by Kripfganz and Schneider (2018) with the period of observation from 1974 to 2017.

The results suggest that there is a unidirectional causality from economic activity to inbound tourism.

This research applies the linear autoregressive distributed lag (ARDL) model and only uses bivariate variables to examine the existence of the tourism-led growth hypothesis. Further studies for the Indonesian case may apply a nonlinear ARDL model. Also, the addition of other socio-economic variables, especially those related to domestic tourism activity, can be applied to improve the model.

This work will provide an alternative quantitative methodology for scholars in studying the relationship between tourism and economic variables.

The findings in this research can complement touristic-public policy decision, and the methodology may be important for knowledge transfer.

This is the first quantitative study to measure tourism-led growth hypothesis in Indonesia by using the latest modified bounds testing approach.