to many, however, it constantly appears as an instructional problem. The final two chapters serve as excellent summary statements. Chapter 13 emphasizes the application of previous text material to the classroom situation. Of great significance is the author's discussion of commonly defined independent, dependent, and moderator variables. The final chapter focuses on evaluation in the overall sense, particularly as it relates to programs of study. The principles of measurement and research design are applied to the evaluation process through several ex-

Educational Research: Competencies for Analysis and Application:

Commitment in the workplace

With an increasing number of privately own vehicles
in Malaysia, the popularity of public transports is increasingly challenged by ride-hailing services such as Grab, MyCar, JomRides and MULA. To develop effective strategies aimed at retaining users, it is necessary to understand the factors that affect users’ satisfaction and loyalty in public transport. In this study, we
propose that satisfaction and loyalty in public transport are associated with five key factors: accessibility, reliability, perceived value, comfort, and safety and security. Data collected from a survey of 179 public transport users in Kuching city was used to test the research model. Partial least squares structural equation
modeling (PLS-SEM) was used to analyse the data. The main
findings were that safety and security, and reliability significantly affected the users’ satisfaction and loyalty in public transport, while no statistically significant relationship was found among accessibility, satisfaction and loyalty. These findings not only
contribute to the theory development of transportation research but also help practitioners to develop novel strategies aimed at increasing public transport usage.

Factors Affecting Satisfaction and Loyalty in Public Transport using Partial Least Squares Structural Equation Modeling (PLS-SEM)

The main objective of the study is to understand how big data analytics capability (BDAC) as an organizational culture can enhance trust and collaborative performance between civil and military organizations engaged in disaster relief operations. The theoretical framework is grounded in organizational information processing theory (OIPT). We have conceptualized an original theoretical model to show, using the competing value model (CVM), how BDAC, under a moderating influence of organizational culture, affects swift trust (ST) and collaborative performance (CP). We used WarpPLS 6.0 to test the proposed research hypotheses using multi-respondent data gathered through an email questionnaire sent to managers working in 373 organizations, including the military forces of different countries, government aid agencies, UN specialized agencies, international non-government organizations (NGOs), service providers, and contractors. The results offer four important implications. First, BDAC has a positive, significant effect on ST and CP. Second, flexible orientation (FO) and controlled orientation (CO) have no significant influence on building ST. Third, FO has a positive and significant moderating effect on the path joining BDAC and CP. Finally, CO has negative and significant moderating effect on the path joining BDAC and CP. The control variables: temporal orientation (TO) and interdependency (I) have significant effects on ST and CP. These results extend OIPT to create a better understanding of the application of information processing capabilities to build swift trust and improve collaborative performance. Furthermore, managers can derive multiple insights from this theoretically-grounded study to understand how BDAC can be exploited to gain insights in contexts of different management styles and cultures. We have also outlined the study limitations and provided numerous future research directions. (This abstract was borrowed from another version of this item.)

Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain

Climate change, the growth in world population, high levels of food waste and food loss, and the risk of new disease or pandemic outbreaks are examples of the many challenges that threaten future food sustainability and the security of the planet and urgently need to be addressed. The fourth industrial revolution, or Industry 4.0, has been gaining momentum since 2015, being a significant driver for sustainable development and a successful catalyst to tackle critical global challenges. This review paper summarizes the most relevant food Industry 4.0 technologies including, among others, digital technologies (e.g., artificial intelligence, big data analytics, Internet of Things, and blockchain) and other technological advances (e.g., smart sensors, robotics, digital twins, and cyber-physical systems). Moreover, insights into the new food trends (such as 3D printed foods) that have emerged as a result of the Industry 4.0 technological revolution will also be discussed in Part II of this work. The Industry 4.0 technologies have significantly modified the food industry and led to substantial consequences for the environment, economics, and human health. Despite the importance of each of the technologies mentioned above, ground-breaking sustainable solutions could only emerge by combining many technologies simultaneously. The Food Industry 4.0 era has been characterized by new challenges, opportunities, and trends that have reshaped current strategies and prospects for food production and consumption patterns, paving the way for the move toward Industry 5.0.

The fourth industrial revolution in the food industry-Part I: Industry 4.0 technologies.

This study aims to determine the effect of managerial initiatives on the adoption of traceability systems on food cold chain performance during the Covid-19 pandemic. Managerial initiatives are allegedly needed to improve the company's performance because it improves the traceability system in the supply chain. In addition, the effect of the traceability system adoption on the Indonesian food cold-chain performance during the Covid-19 pandemic is also discussed in this study. This study uses a quantitative approach and purposive sampling with a questionnaire research instrument obtained 250 statements of Indonesian consumers and retail employees. Partial least squares for structural equation modeling (PLS-SEM) were used to analyze latent variables' relationships. This study indicates that the traceability system has a significant effect on the performance of the food cold-chain during the Covid-19 pandemic. In addition, the adoption of electronic data exchange (EDI), radio frequency identification (RFID), and blockchain significantly impacted traceability systems during the Covid-19 pandemic. The managerial application of the initiative showed a positive and significant impact on the performance of the food cold-chain during the Covid-19 pandemic. However, the managerial initiative is not able to moderate the adoption of the traceability system.

/pdf/the-effect-of-traceability-system-and-managerial-initiative-2pfnbxazlw.pdf

The Effect of Traceability System and Managerial Initiative on Indonesian Food Cold Chain Performance: A Covid-19 Pandemic Perspective

This article identifies the influence of logistics service quality in Indonesia on customer satisfaction and loyalty during the COVID-19 pandemic and customer trust as a moderating variable. In thi...

https://www.tandfonline.com/doi/pdf/10.1080/23311975.2021.1906492

The effect of logistic service quality on customer satisfaction and loyalty using kansei engineering during the COVID-19 pandemic

This article designed a service model in logistics services for document and package delivery through the exploration of service element relationships and customer perceived (i.e. Kansei). Kansei e...

https://www.tandfonline.com/doi/pdf/10.1080/23311975.2020.1751021

Customers perception on logistics service quality using Kansei engineering: empirical evidence from indonesian logistics providers

CV. Wijaya Kusuma is a company producing sanitair. The production process is done manually. Workers work with work postures bent and squatting. Posture work bent and squat reduces the comfort. Posture work bend and squat and potential risks of musculoskeletal disorder. REBA method is suitable to solve the problem. REBA is a method used in job posture analysis. REBA method used to quickly assess the posture of the neck, back, arms, wrists, and feet of a worker. The initial stage of the research is to divide the Nordic Body Map (NBM) questionnaire. NBM aims to know complaints of body parts before and after work. The purpose study is to determine the cause of complaints of musculoskeletal disorders (MSDs) labor. This study provides a solution to the problem of labor MSDs complaints. The results show 6 work postures with "moderate" risk levels, 4 high-risk "work postures". All work postures in the sanitair production process require corrective action posture.

/pdf/metode-reba-untuk-pencegahan-musculoskeletal-disorder-tenaga-3ilvabddyd.pdf

Metode REBA Untuk Pencegahan Musculoskeletal Disorder Tenaga Kerja

This article identifies the effect of logistics service quality on customer satisfaction and customer loyalty with customer trust as a moderating variable from the context of Indonesian humanitaria...

https://www.tandfonline.com/doi/pdf/10.1080/23311975.2020.1826718

The effect of humanitarian logistics service quality to customer loyalty using Kansei engineering: Evidence from Indonesian logistics service providers

Dian Palupi Restuputri

Papers

The Effect of Traceability System and Managerial Initiative on Indonesian Food Cold Chain Performance: A Covid-19 Pandemic Perspective

The effect of logistic service quality on customer satisfaction and loyalty using kansei engineering during the COVID-19 pandemic

Customers perception on logistics service quality using Kansei engineering: empirical evidence from indonesian logistics providers

Metode REBA Untuk Pencegahan Musculoskeletal Disorder Tenaga Kerja

The effect of humanitarian logistics service quality to customer loyalty using Kansei engineering: Evidence from Indonesian logistics service providers