Pasar tradisional saat ini menghadapi permasalahan eksternal dan internal yang berpengaruh besar terhadap eksistensi mereka. Dari sisi eksternal pasar tradisional menghadapi kenyataan bahwa kebijakan saat ini tidak cukup mendukung potensi mereka untuk berkembang. Demikian pula persaingan dengan ritel modern yang sangat ekspansif semakin menciptakan kondisi bahwa pasar tradisional semakin ditinggalkan oleh konsumennya. Disisi internal, pasar tradisional menghadapi kenyataan bahwa fisik pasar yang tua tanpa renovasi, sementara manajemen pasar tidak mampu mengatasi perubahan dalam menata pasar tradisional yang bersih, nyaman dana man.Perubahan lingkungan dalam bisnis ritel menuntut pemecahan masalah eksternal dan internal pasar tradisional. Penelitian ini mencoba menganalisa model pengembangan tempo dulu (model tradisional), model yang berjalan saat ini (model transisi) dan model pengembangan masa depan (model integrase) yang dapat memadukan antara model yang telah dan sedang berjalan dengan model yang dibutuhkan di masa depan.Belajar dari pengalaman dalam pembinaan dan model yang dikembangkan di negara lain, maka kajian ini mencoba untuk mengintrodusir model integrase dalam pengembangan pasar tradisional.

This study aims to identify the application of Theory of Planned Behavior to predict people's intentions to invest in cryptocurrencies. Theory of Planned Behavior remains the most prominent theory in behavioral research to predict one’s intention or behavior. This research selected and reviewed articles related to the application of Theory of Planned Behavior. Data was collected from journals, papers, books, and websites related to the theory of planned behavior (TPB) and cryptocurrency. This study revealed that Theory of Planned Behavior is valid and reliable to measure cryptocurrency investment intention. Self-efficacy was used to as a proxy for perceived of behavioral control. This study can be used to develop responsive strategies.

This research was driven by the COVID-19 pandemic which had an impact on changes in employee working arrangements. Prior to the COVID-19 pandemic, many employees worked from the office (WFO), however, after the pandemic, many employees had the opportunity to work flexibly (either working from home or other remote work). This adaptability is part of the Flexible Working Arrangement (FWA), which is being implemented in an effort to minimize the spread of COVID-19. Various studies have found that such work arrangements, even in public organizations, will continue to be adopted after the COVID-19 pandemic. Therefore, organizations must ensure that flexible working arrangements have a positive impact on their organization. One of the efforts that can be done is to evaluate from the perspective of proactive work behaviour. In this regard, the objective of this research was to determine the best effort for implementing proactive work behaviour in the implementation of flexible working arrangements. The study was carried out with a qualitative approach and data collection techniques through documentation studies. The results indicate that proactive work behavior can be achieved in the context of implementing flexible work arrangements by: 1) establishing appropriate flexible working policies, 2) providing adequate organizational support, and 3) paying attention to employee well-being

No abstract

Factors on Unified Theory of Acceptance and Use of Technology (UTAUT) are factors derived from UTAUT technology acceptance model, which is used to describe the factors that influence the acceptance of individuals on the implementation of a new technology in the enterprise. This study aimed to analyze the influence of UTAUT factors on E-retention with E-satisfaction as mediating variable. This study uses a quantitative approach with the total samples. The results showed that: (1) Performance Expectancy influences E-retention significantly, (2) Effort Expectancy influences E-retention significantly, (3) Social Influence influences E-retention not significantly, (4) Facilitating Conditions influences E-retention significantly, (5) E-satisfaction influences E-retention significantly, and (6) UTAUT Factors influence E-retention with E-satisfaction as mediating variable. However, the bigger impact is shown through the influence of UTAUT Factors on E-retention directly without going through the E-satisfaction.