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The introduction of artificial intelligence (AI) technology has had a substantial influence on the retail industry. However, AI adoption entails considerable responsibilities and risks for senior managers. In this study, the authors developed an evaluation and selection mechanism for successful AI technology adoption in the retail industry. The multifaceted measurement and identification of critical factors (CFs) can enable retailers to adopt AI technology effectively and maintain a sustainable competitive advantage.

The evaluation and adoption of organisational AI technology involve multifaceted decision-making for management. Therefore, the authors used the analytic network process to develop an AI evaluation framework for calculating the weight and importance of each consideration. An expert questionnaire survey was distributed to senior retail managers and 17 valid responses were obtained. Finally, the Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method was used to identify CFs for AI adoption.

The results revealed five CFs for AI adoption in the retail industry. The findings indicated that after AI adoption, top retail management is most concerned with factors pertaining to business performance and minor concerned about the internal system's functional efficiency. Retailers pay more attention to technology and organisation context, which are matters under the retailers' control, than to external uncontrollable environmental factors.

The authors developed an evaluation framework and identified CFs for AI technology adoption in the retail industry. In terms of practical application, the results of this study can help AI service providers understand the CFs of retailers when adopting AI. Moreover, retailers can use the proposed multifaceted evaluation framework to guide their adoption of AI technology.

This paper aims to examine language learners’ critical multimodal literacy practices with a moving-image text, focusing on text comprehension and interpretation rather than text production. It takes a critical perspective towards multimodality and proposes the simultaneous emphasis on critical and multimodal literacies.

This qualitative teacher-inquiry adopts critical multimodal literacy as the framework for understanding learners’ literacy practices. The course implementation highlights images, sounds and words as encompassing the five modes of visual, aural, linguistic, gestural and spatial (Arola et al., 2014) in emphasizing the multimodal in critical multimodal literacy, and the purposeful organization of the images, sounds and words as reflecting the critical in critical multimodal literacy. The analysis also adopts Serafini’s (2010) concentric perceptual, structural and ideological perspectives as the tenets of critical multimodal literacy.

The findings show that focusing on images, sounds, words and their purposeful organization enabled the students to critically examine a moving-image text through considerations for the multiple modes and arriving at the structural and ideological interpretive perspectives.

This study fills a gap in the literature, as very little research has been done to investigate the ways in which language learners engage with, that is, comprehend and interpret, moving-image multimodal texts. In addition, it presents a critical multimodal literacy framework based on Serafini’s (2010) tripartite perspectives and offers pedagogical suggestions for incorporating critical multimodal literacy in language classrooms.

Initiated by non-governmental organizations (NGOs) over half a century ago, fair trade has successfully evolved from a regional business discourse to a global social movement within international trade. In the matter of fair trade coffee, this global social movement has transformed the traditional coffee trade structure of inequality and unfairness into a conglomerate of international institutions that embrace equity and inclusivity – a metamorphosis that can be attributed to NGOs’ institutional entrepreneurship.

In this exploratory study, the authors examine the fair trade coffee industry and trace the actions of NGOs along with other stakeholders at the organizational field level, in moving toward an inclusive model of globalization.

Departing from exploitative globalization, fair trade practices advocate inclusive growth through the promotion and establishment of greater equity for all as well as higher environmental standards in global value chains.

This study contributes to nascent research on inclusive growth by analyzing how fair trade promotes inclusive growth and trade in GVCs. This study also contributes to research on institutional entrepreneurship by examining two enabling conditions – the shift in institutional logics and the peripheral social position of NGOs – that enabled NGOs to serve as institutional entrepreneurs in the initiation phase of institutional entrepreneurship.

Policymakers may encourage collaboration between profit organizations and nonprofit organizations to provide entrepreneurial opportunities for trials, errors, and revisions. The evolution of fair trade coffee provides such an example.

The coevolution of NGOs and MNEs has made the globalization of fair trade practices possible. The collaboration between NGOs as institutional entrepreneurs (operating on the community logic) and MNEs as institutional followers (operating on the financial logic) support inclusive globalization and sustain fair trade practices.

Drawing on the process model of institutional entrepreneurship, the authors seek to understand the role of NGOs as institutional entrepreneurs in the dynamics of initiating, diffusing and sustaining fair trade coffee practices.

This paper aims to propose a critical multimodal framework to understanding pedagogical materials that focuses on not only the verbal or the visual components but also the interaction between the two semiotic resources that constructs power relations as a result of intermodal interaction, and it further provides an example of an in-depth analysis of one text using this approach.

The paper proposes a critical multimodal framework that draws from Serafini (2010) and Royce (1998). Details about how the two works complement to form a critical multimodal framework are discussed, after which the paper analyzes one example from an English-language textbook using the proposed framework to demonstrate its strengths.

The findings highlight the power relations constructed in texts as a result of the interaction between the verbal and visual components, specifically how the visual mode functions to rationalize the power relations constructed in the verbal mode. These findings also establish the significance for considering the larger context of materials production and reception identified in the ideological perspective to appreciate how texts reflect discourses in diverse locales.

This paper argues that even though critical multimodality has often been discussed conceptually in L1 literacy scholarship, how to put these conceptualizations into practice has not been addressed systematically. The paper also contends that critical perspectives to understanding multimodal texts are also important in L2 English-language teaching. The critical multimodal framework proposed thus serves as a conceptual and methodological framework for multimodal reading and interpretive practices in both L1 and L2 contexts.

By integrating the diffusion of innovation (DOI) theory, technology acceptance model (TAM), and social capital theory, the purpose of this paper is to: develop a model of consumer behavior and trial willingness toward nano-foods from product, consumer, and social perspectives; examine the effects of innovative features, consumer characteristics, and trust in authority on subjective perceptions (perceived trustworthiness and perceived benefit) as well as the social influence on attitudes toward nano-foods and trial willingness; examine the moderating role of product uncertainty on the relationship between these characteristics and subjective perceptions; and examine the effect of perceived benefit on perceived trustworthiness.

The results of the structural equation model (SEM), with nano-food knowledge data collected from 431 respondents, supported the research model and revealed the main effects hypothesized in this study and the moderating effect of product uncertainty. Simple slope analysis was further adopted to test the significant moderating effects.

The SEM results indicated that innovative characteristics (relative advantage, lack of observability, and novelty), consumer characteristics (perceived technology application), and social characteristics (trust in authority) affect perceived trustworthiness or perceived benefit. Social influence also has a direct effect on attitude toward nano-foods and trial willingness. Product uncertainty significantly moderates the relationship between characteristics (relative advantage and perceived technology application) and subjective perceptions (perceived trustworthiness and perceived benefit).

With increasing numbers and kinds of nanotechnology products now being developed and sold, it is important to go further to determine consumer perceptions and attitudes toward these. This study, thus, applied the DOI, TAM, and social capital theory to examine this issue. However, other theories might also be used to carry out research from other perspectives. This study should, thus, be seen as preliminary, and it is hoped that more works will discuss consumer attitudes toward nanotechnology products in the future.

When a new nano-food is introduced, the current study suggests that food manufacturers use the description on the package as a communicative tool. Detailing the advantages of nano-foods on food packages might be a useful way to enhance trial willingness and to reduce the fears and insecurities related to the use of nano-related products. In addition, if food manufacturers could cooperate with organizations or individuals seen as having some authority in this area (e.g. nanotechnology researchers) in order to disseminate accurate information about nanotechnology and related food products, this might be an effective way to increase sales and profits.

This is the first paper integrating the DOI, the social capital theory and the TAM to empirically investigate consumer willingness to try nano-food products.

Drawing on social identification theory, this research aims to explore an important mechanism – patients’ perceived empathy from a hospital, which is defined as caring, individualized attention provided by the hospital – that explains how service quality influences patients’ loyalty to the hospital.

This study adopts a structural equation modelling framework to estimate the mediation relationship between service quality and patient loyalty using two studies based on hospital employees and patients.

In Study 1, hospital staff survey data showed that service quality enhanced patients’ perceived empathy from the hospital. In Study 2, the authors confirmed and extended the findings of Study 1 by using patient survey data that suggested that patients’ empathy mediated the relationship between service quality and patients’ loyalty to the hospital.

The results of the two studies suggested that service quality increased patients’ empathy, which in turn improved patients’ loyalty to a hospital. The results extend the customer loyalty literature by exploring the critical antecedents and mechanisms of customer loyalty in the healthcare context. The studies interpret healthcare phenomena from the service aspect of fulfilling patients’ unique needs and providing a good hospital service experience. Moreover, the authors offer an insightful approach to explaining the service quality–patient loyalty linkage in the healthcare industry. Important theoretical and managerial contributions and suggestions for future research are discussed.

The purpose of this study is to present a highly stretchable and flexible strain sensor with simple and low cost of fabrication process and excellent dynamic characteristics, which make it suitable for human motion monitoring under large strain and high frequency.

The strain sensor was fabricated using the rubber/latex polymer as elastic carrier and single-walled carbon nanotubes (SWCNTs)/carbon black (CB) as a synergistic conductive network. The rubber/latex polymer was pre-treated in naphtha and then soaked in SWCNTs/CB/silicon rubber composite solution. The strain sensing and other performance of the sensor were measured and human motion tracking applications were tried.

These strain sensors based on aforementioned materials display high stretchability (500 per cent), excellent flexibility, fast response (approximately 45 ms), low creep (3.1 per cent at 100 per cent strain), temperature and humidity independence, superior stability and reproducibility during approximately 5,000 stretch/release cycles. Furthermore, the authors used these composites as human motion sensors, effectively monitoring joint motion, indicating that the stretchable strain sensor based on the rubber/latex polymer and the synergetic effects of mixed SWCNTs and CB could have promising applications in flexible and wearable devices for human motion tracking.

This paper presents a low-cost and a new type of strain sensor with excellent performance that can open up new fields of applications in flexible, stretchable and wearable electronics, especially in human motion tracking applications where very large strain should be accommodated by the strain sensor.

The authors of this study aim to investigate possible explanations of the prevalence of price clustering in the final offer prices of mergers and acquisitions (M&A).

The authors use final offer price in M&A deals to investigate the price clustering phenomena. The authors used regressions and logistic regressions to examine potential factors that might affect pricing strategy by looking into one-time acquirers and experienced serial acquirers.

Price clustering increases with negotiation uncertainties characterized as competitive bidding, number of bidders, challenged deals and duration. Moreover, the authors find persistent price clustering in experienced serial acquirers that are more experienced and better equipped with handling uncertainties, suggesting a preference of using round numbers regardless of levels of uncertainties. The authors' evidence shows that price clustering results from a combination of Harris' (1991) costly negotiation hypothesis where round prices may be used to lower search costs and psychological bias and preference.

The authors appear to be the first to investigate alternative theories that support M&A offer price clustering behavior, finding that both the costly negotiation and psychological bias and preference theories apply to M&A final price formation. Thus, the authors' major contribution, specific to the M&A process, is a clarification of physical and psychological factors associated with bidding and negotiation behavior. The authors are confident that the authors' study impacts conventional knowledge regarding M&A deal negotiation strategies, including bidding behavior, contract negotiation, financial analysis, management practices and risk management.

The purpose of this paper is to present a dual-mode proximity sensor composed of inductive and capacitive sensing modes, which can help the robot distinguish different objects and obtain distance information at the same time. A systematic study of sensor response to various objects and the function of cooperation sensing is needed. Furthermore, the application in the field of robotic area needs to be discussed.

Numerical modeling of each sensing modes and simulations based on finite element analysis method has been carried out to verify the designed dual-mode sensor. A number of objects composed of different materials are used to research the cooperation perception and proximity sensing functions. In addition, the proposed sensor is used on the palm of a mechanical hand as application experiment.

The characteristics of the sensor are summarized as follows: the sensing range of inductive mode is 0-5.6 mm for detecting a copper block and the perceive range of capacitive mode is 0-5.1 mm for detecting a plastic block. The collaborative perceive tests validated that the non-ferromagnetism metals can be distinguished by inductive mode. Correspondingly, ferromagnetism metals and dielectric objects are differentiated by capacitive mode. Application experiments results reveal that both plastic bottle and steel bottle could be detected and differentiated. The experimental results are in agreement with those of simulations.

This paper provides a study of dual-mode proximity sensor in terms of design, experiments and application.

The purpose of this paper is to propose a model for product recommendation to improve the accuracy of recommendation based on the current search engines used in e-commerce platforms like Tmall.com.

First, the proposed model comprehensively considers price, trust and online reviews, which all represent critical factors in consumers’ purchasing decisions. Second, the model introduces the quantization methods for these criteria incorporating fuzzy theory. Third, the model uses a distance measure between two single valued neutrosophic sets based on the prioritized average operator to consolidate the influences of positive, neutral and negative comments. Finally, the model uses multi-criteria decision-making methods to integrate the influences of price, trust and online reviews on purchasing decisions to generate recommendations.

To demonstrate the feasibility and efficiency of the proposed model, a case study is conducted based on Tmall.com. The results of case study indicate that the recommendations of our model perform better than those of current search engines of Tmall.com. The proposed model can significantly improve the accuracy of product recommendations based on search engines.

The product recommendation method can meet the critical challenge from the search engines on e-commerce platforms. In addition, the proposed method could be used in practice to develop a new application for e-commerce platforms.