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This paper aims to investigate the causal inferences between mobile application adoption and changes in travelers’ purchasing behavior regarding services supported by the travel and tourism industry.

Using a quasi-experiment conducted by an airline, data sets from more than 10,000 travelers were collected, and hypotheses were tested using propensity score matching and difference-in-difference methods.

Mobile application adoption has a significant positive effect on the total purchasing frequency of services and a significant adverse effect on booking tickets in advance and purchasing frequency from self-owned websites. Besides, this finding also suggested that members or travelers who had high average purchases in the past tend to buy more air tickets on average after mobile application adoption, while the number of days to book tickets in advance and purchase auxiliary services declined after mobile application adoption. However, males purchased more auxiliary services via mobile applications.

The study is based on the causal effect of mobile application adoption on purchasing behavior. Nevertheless, the theoretical basis remains relatively weak. Furthermore, the underlying mechanisms that cause the changes in purchasing behavior via mobile applications need to be elucidated.

This study enriches the hospitality and tourism literature on mobile application adoptions, multichannel purchasing behavior and revenue management. First, a quasi-experimental design is used to verify a causal relationship between mobile applications’ adoption and travelers’ purchasing behavior in the travel and tourism industry. Second, this study adds to examining travelers’ multichannel purchasing behavior in the travel and tourism industry. Third, this work enriches the current literature that explores auxiliary services and revenue management in the travel industry.

Mobile application adoption significantly impacted the travel and tourism industry. Besides, To the best of the authors’ knowledge, this is one of the first empirical studies that examined changes in purchasing behavior due to mobile application adoption from the perspective of service type. The findings provide the first evidence of the impact of mobile application adoption on service purchasing in the travel industry.

Although much attention has been paid to understanding employee resistance to reform, little study has been done to explore the effect of employee resistance to public service units' (PSUs) reform in China. To address this need, this work aims to investigate the antecedents of employee resistance to PSUs' reform, especially from the perspective of the heterogeneity of the employees' age.

This study considers the PSUs in Harbin, China, as an example and uses survey questionnaires to analyze the factors influencing employees' resistance when PSUs reform. Besides, the authors developed a research model based on the status quo bias theory, the equity-implementation model.

According to the applied research model, employee resistance to PSU change is primarily influenced by perceived switching costs and benefits. According to their age, this survey also confirms how the employees responded to the reform implementation.

The results of this empirical study inform suggestions for the sustainable development of PSUs and organizational transformations. Overall, this work advances the theoretical understanding of employees' resistance to PSUs’ reform, thereby offering practical insights for managing employee resistance during organizational change.

Overall, given that employee resistance emotion exists in an organization, this study offers theoretical and practical implications for change management strategies.

After information systems (IS) implementation, many organizations report that system underutilization causes the failure to meet expected IS investment returns. It is imperative to understand the way to leverage employees’ fullest potential in the IS usage. The paper aims to discuss these issues.

Anchoring on absorptive capacity (ACAP) theory, the authors develop an employee innovation model. Using survey data and structural equation modeling, this research investigates how perceived organizational levers affect innovation with IS usage (INVU) by introducing individual ACAP as a mediator.

The authors find general support for the research model through a survey of 205 employees using SAP business intelligence systems in China. The empirical data shows that three interrelated components of individual ACAP significantly contribute to INVU. The findings also suggest that, both fairness of reward and job autonomy are key organizational levers for the utility of individual ACAP. Furthermore, their effects on INVU can be fully mediated by individual ACAP.

The authors empirically unpack and validate individual ACAP in IS innovation situation. The findings provide academics and practitioners with an understanding of how management can inspire employees’ potential in implemented system innovation.

The purpose of this paper is to analyse the importance of specific, quality-related employees’ attributes to the enhancement of product quality in food companies. The main goal is to examine the synergistic relationships between specific employees’ attributes, which have been related in literature to ISO 9000 successful implementation, to continuous improvement, operational performance and product quality.

The analysis includes an initial exploratory factor analysis, followed by confirmatory factor analysis and structural equation modelling, in order to investigate the relations between the constructs of the proposed model.

The findings reveal that although the examined quality-related “employees’ attributes” do not directly contribute to “product quality”, they influence both “continuous improvement” and “operational performance” of food firms. The results also confirm the impact of both “continuous improvement” and “operational performance” on “product quality” and also that “continuous improvement” helps explain “operational performance”.

The domain in which the model has been validated, the restricted use of moderators in the model and lack of empirical validation of the model in non-food sector companies, based on various respondents from each company, are a number of limitations associated with this study which suggest future research proposals.

The findings of this study can motivate managers of food companies to focus on certain quality-related employees’ attributes in order to boost continuous improvement of ISO 9001 systems and operational performance of their companies, leading to product quality enhancement.

This study finds particular relevance in emphasizing that although specific quality-related employees’ attributes, as these are detected in literature, have a significant contribution towards continuous improvement and operational performance, they are not the only critical factor leading to product quality. More complex relationships need to be considered by integrating other constructs as major antecedents of food product quality.

Purpose: This study aims to identify communication speech acts and transaction terms in online stores (Olshop) during live streaming on Facebook amid the COVID-19 pandemic and to understand communication patterns between sellers and buyers when shopping on Facebook live streaming in Indonesia.

The Need for Research: This research is motivated by the skill gap arising from increasing buying and selling transactions through live streaming on Facebook. Cultural and demographic shifts, along with the widespread availability of modern technologies and marketing 2.0 have resulted in the global population adopting social media at rates far beyond our use of the Internet, making a compelling case by example and analogy that social media has the potential to level the playing field and is effective in reaching their target market.

Methodology: The type of research is descriptive-qualitative using corpus data instruments. The data collection technique in this study was carried out by reading and observing the data and listening to speeches about buying and selling women’s equipment from various online stores on Facebook. Then select and sort the data designated as forms, strategies, and functions of speech acts in buying and selling transactions during live streaming on Facebook. The data analysis technique has three steps: (1) reducing the amount of data; (2) presenting the data; and (3) concluding.

Findings: The results show that there are four types of speech acts between sellers and buyers in the live-streaming online shop on Facebook, namely, assertive, directive, expressive, and commissive speech acts.

Food fraud has vexed the food industry throughout history. Today, it is still a present and multidimensional problem affecting all parts of the food industry. Food fraud encompasses adulteration, counterfeit, diversion of products outside of intended markets, over-run, simulation, tampering, theft, misrepresentation or mislabelling, malicious poisoning, bioterrorism or sabotage. It is difficult to detect and trace the source of unintentional contamination and related food safety concerns and even more difficult to detect instances of product fraud. The most common product categories that are associated with food fraud are olive oil, milk and milk-based products, fish and seafood, wine, tea, honey and organic foods. On the other hand, knowledge on what influences the occurrence of fraud in food supply chain is limited. The main research aim in this chapter is to determine key factors which influence the occurrence of food fraud within the organic supply chain, and how these factors differ between various organic marketing channel members. We focus on the application of qualitative methods for detecting key food fraud aspects including broad practical areas, such as opportunities and motivations to commit fraud, as well as the presence or lack of suitable food fraud control measures. These three key aspects are assessed to identify the perceived fraud vulnerability of the organic supply chain. The research is conducted with special attention to the context of the transition economies, since these markets require a new, comprehensive strategic approach to preventing and detecting food fraud and adulteration. The entire analysis is conducted on the Serbian market.

Frequent food safety incidents caused widespread consumer concerns. Even though food safety is one of the weakest links in the fresh food supply chain and influences consumer food choice in ways different from the quality dimension, this factor is hardly proposed as one of the key traditional supplier selection criteria (e.g. quality, delivery, and price) in the literature. The purpose of this paper is to develop a business process decision model to assess the non-compensating food safety sub-criteria in order to disqualify fresh food suppliers that cannot reach the minimum threshold for low probable food safety failure. The preferred fresh food suppliers can minimize the risk of food safety failure and the associated huge food safety failure costs spanning from private consumer anguish to social distress that cause unbearable costs of sales loss and damage to brand image in business.

This study proposes a novel approach that combines several well-established multi-criteria decision making (MCDM) techniques, including fuzzy AHP (FAHP), TOPSIS, and ELECTRE, and innovatively apply to analyze supplier performance and prioritize potential fresh food suppliers. This hybrid business process model can enforce compliance to all the five non-compensatory sub-criteria of food safety. Since ELECTRE is a non-compensatory MCDM method, it is therefore particularly applicable for disqualifying high risk fresh food suppliers from further full scale supplier performance evaluation by FAHP and TOPSIS. This hybrid business process decision model is able to capitalize on the strengths of these MCDM methods and offset their deficiencies.

This study uses data of an international supermarket chain to validate feasibility of the proposed model. Results indicate that this model is able to assess the non-compensating food safety sub-criteria via the ELECTRE method in order to disqualify fresh food suppliers that cannot reach the minimum threshold for low probable food safety failure. Only the preferred suppliers with the required food safety capability can proceed to the second stage of the supplier selection process. Assessment via the TOPSIS method reveals the ranking order of those top performing suppliers according to their relative scores along all the supplier selection criteria. The TOPSIS ranking results with the selection of the suppliers C, E, A, and F are robust and consistent across all the different scenarios.

Application to the fresh food industry is possible with the aid of the MCDM methods. The contribution to the body of knowledge in this teaching and research field demonstrates the importance of first identifying the order qualifier for disqualifying those suppliers that do not satisfy the food safety requirements via the ELECTRE method. The proposed assessment procedure complies with the regulatory policy on food safety, and would influence public policy in applying the best practice of food safety regulation. Without first qualifying the potential suppliers on the basis of food safety, wrong decision can be made to select those high food risk suppliers that have relatively higher overall scores in other supplier selection criteria. Using the assessment results has positive economic and commercial impact on the purchasing managers to formulate appropriate purchasing and supplier development strategy to enhance supplier’s food safety performance, whilst maximizing the overall supplier portfolio performance. The improved supplier’s food safety performance will certainly benefit the society’s quality of life as well.

Based on the analytical MCDM methods of FAHP, TOPSIS, and ELECTRE, purchasing managers can operationalize the Hill’s framework of order qualifier and winner that has primarily been used in the literature and manufacturing industry. This study represents the first move to innovatively apply the FAHP, TOPSIS, and ELECTRE methods to operationalize the Hill’s framework of order qualifier and winner that has primarily been used in the literature and manufacturing industry. Application to the fresh food industry to validate the feasibility of the proposed model has been conceived and implemented in this study. Analysis of the data inputs of a supermarket chain via the three MCDM methods generate the results that fulfill the purpose of achieving the research objective of identifying and managing the supplier base that can deliver the best supplier performance, conditional on first passing the fresh food safety test.

This study was undertaken to investigate whether a service-oriented approach to the local food supply chain contributes to strengthened linkages between accommodation and agricultural sectors, thereby creating value for users.

The qualitative study examined levels of customer/consumer engagement (CE) within theoretical constructs of the service-oriented framework and value co-creation, intangible resources and valued relationship within the value chain and food service. Also, two explanatory case studies were conducted on two accommodation properties.

Empirical findings indicated that the hospitality business which emphasized a consumer-centric service approach throughout the value chain – both forward (toward the consumer) and backward (toward the supplier) – had greater success in engaging customers. It also highlighted the importance of service leadership.

The research study provides practical guidance to members of the local food supply chains in the hospitality sector and strategies that can be used to optimize all opportunities to ensure consumers’ needs are met and exceeded as a precursor for repeat business.

The intricacies of services when well understood and applied in hospitality businesses are likely to generate favorable outcomes such as poverty alleviation. Developing destinations invest significantly in tourism as a channel for economic development. Unfortunately, gains are forfeited since limited attention is given to strategically advancing consumer-centric service at the micro level in tourism businesses to the extent that these benefit other stakeholders. Fostering CE and developing a culture of service leadership appear to be critical success factors.

This study is unique and extremely relevant to island destinations as it provides insights using a service management framework in the Caribbean context on how destinations may enhance hospitality business through improved service in island states.

Food fraud as intentional deception for economic gain relies on a low-tech food value chain, that applies a ‘paper-and-pencil approach’, unable to provide reliable and trusted data about food products, accompanied processes/activities and actors involved. Such approach has created the information asymmetry that leads to erosion of stakeholders and consumers trust, which in turn discourages cooperation within the food chain by damaging its ability to decrease uncertainty and capability to provide authentic, nutritional, accessible and affordable food for all. Lack of holistic approach, focus on stand-alone measures, lack of proactive measures and undermined role of customers have been major factors behind weaknesses of current anti-fraud measures system. Thus, the process of strong and fast digitalisation enabled by the new emerging technology called Industry 4.0 is a way to provide a shift from food fraud detection to efficient prevention. Therefore, the objective of this chapter is to shed light on current challenges and opportunities associated with Industry 4.0 technology enablers' guardian role in food fraud prevention with the hope to inform future researchers, experts and decision-makers about opportunities opened up by transforming to new cyber-physical-social ecosystem, or better to say ‘self-thinking’ food value chain whose foundations are already under development. The systematic literature network analysis is applied to fulfil the stated objective. Digitalisation and Industry 4.0 can be used to develop a system that is cost effective and ensures data integrity and prevents tampering and single point failure through offering fault tolerance, immutability, trust, transparency and full traceability of the stored transaction records to all agri-food value chain partners. In addition, such approach lays a foundation for adopting new business models, strengthening food chain resilience, sustainability and innovation capacity.

The study sets to summarise managerial requirements, analyse practices and tools to measure food safety management system (FSMS) implementation. Also, underpinned by critical success factors (CSFs) theory, the authors explore when food firms manage FSMS and which factors are critical to their implementation to identify promising research directions for researchers and suggestions for practitioners through a comprehensive analytical lens.

It is difficult to ensure food safety from farm to fork worldwide. The paper addresses this challenge from the angle of how firms measure and improve the implementation of the FSMS in global food supply chains by a systematic review combined with biological mapping analysis (VOS viewer) on 81 peer-reviewed papers published from 2005 to 2020.

Mandatory and voluntary regulations and standards are the most critical part of international requirements to assure integrated, proactive, risk-based approaches as well as continuous improvement in the FSMS in global food chains. To measure the FSMS, only a limited number of measurement tools for the FSMS have been identified. External and internal factors, and technology adoption that significantly impact the management of the FSMS implementation still require more future works.

Several FSMS research gaps observed during the content analysis of selected papers within 15 years are presented along with ten future research questions.

A systematised list of published papers that have been studied and reported in this research could be a useful reference point for practitioners in the food industry.

This study set out to summarise managerial requirements for the FSMS from the existing research, analyse practices and tools to measure FSMS implementation, explore when food firms manage the FSMS, which factors are critical to their implementation, and identify promising research directions for researchers and useful suggestions for practitioners.