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A poor performance of the cold supply chain (CSC) may increase the loss of quality and potency of perishables and temperature-sensitive products that deteriorate the financial and environmental aspects of the same. The purpose of the current research work is to identify the critical performance factors (criteria) and their co-factors (sub-criteria) that are responsible for the performance measurement of CSC and suggest the best possible solutions (alternatives) to improve the same.

To achieve the objective of the research, a hierarchical model has been developed and analyzed using Analytic Hierarchy Process (AHP)-Fuzzy TOPSIS as a hybrid approach to obtain the severity weights of the identified criteria and prioritization toward their relative importance for the best possible alternatives.

Analysis reveals that the criteria “energy consumption” comes out to be the most critical criteria, and alternative “application of passive cold devices” is the most effective solution for improving the performance of CSC. Higher energy consumption leads to a higher rate of greenhouse gas (GHG) emissions increasing the global warming phenomenon, high operational cost and degradation of natural energy resources. The Application of Passive Cold Devices (PCDs) utilizes solar energy to operate the refrigeration units reducing the energy consumption, environmental and operating cost of CSC.

The research work provides several insights into the critical issues related to the CSC and suggests significant findings that enable the management and decision-makers to adopt these practices for performance evaluation and improvement of the same. The key findings of the work, such as “application of passive cold devices” and “application of IoT in cold chain logistics”, facilitate an improved platform to improve the CSC performance and proposed several directions that will enhance the merit of future research.

The presented study consolidates the various perspectives associated with CSC performance, explores the most critical criteria and proposes the best suitable cold chain practices for organizational growth. The work also provides an analytical analysis with the essence of practicalities and sensitivity analysis to support the robustness of the results. By enriching the literature and quantitative analysis of the new proposed model, this paper forms vast managerial and research implications in the field of CSC.

The purpose of this paper is to investigate how online trust affects group shopping intention in the Ihergo web site.

Samples from the Ihergo web site were collected by mailing a questionnaire survey to those who agreed to participate.

Group‐buying operators need to understand their consumers and the scheduling shopping rules between internet shoppers and firms. Moreover, word‐of‐mouth (WOM) can be created online by offering web visitors the ability to access the opinions of satisfied customers.

An online business may adopt different methods to enhance its customer satisfaction level. When people enter a significant amount of personal data at a web site, they are typically reluctant to change vendors and enter the data again.

Customers view a group‐buying operator as a shopping expert, and expect that the group‐buying operator can handle shopping problems before a dispute occurs.

The findings of this study provide interesting insights for group‐buying operators interested in group‐buying commerce; consumers having a high level of interest in shopping possess a strong motivation and desire to interact with the group‐buying operator.

The dynamic and evolving character of the fashion market, affected by globalisation and technology development, has resulted in complex supply chains. In order to keep costs down, fashion companies have relocated their production facilities to developing countries. At the same time, easing trade restrictions and reducing tariffs have encouraged fashion companies to offer their products all around the world. Accordingly, fashion supply chains have become geographically dispersed, with an increasing number of members, and decreasing traceability and visibility of the chains. As a consequence of that, they face uncertainties and some risks, from stock-outs, late deliveries, over-stocks, to counterfeits etc. This chapter sheds light on counterfeiting as the making of a product that so closely imitates the appearance of the product of another as to mislead consumers that the product is an original. Counterfeiting presents the biggest threat to the fashion industry due to its growing popularity among consumers who were not aware of buying fakes or knowingly bought fake fashion items. This chapter aims to examine the pros and cons of purchasing counterfeit fashion products (CFPs) by Gen Y and Z consumers, as they are more likely to purchase them. The results of the study on a sample of young Croatian consumers show that they prefer CFPs due to functional benefits of price and accessibility, and overestimated originals. The main reasons for young consumers not purchasing counterfeits are the perception of having poor quality relative compared to authentic ones as well as the ethical and legal dilemmas involved.

This paper aims to test the relationships between shopping enjoyment, economic motivation, apparel shopping self-confidence, perceived informativeness, perceived irritation and buying intention, using Uses and Gratification (U&G) theory, in a mediated model using virtual dressing room (VDR) media.

The proposed mediation model is tested using the PROCESS (Version 3.0) macro for SPSS with bootstrapping.

Results indicate that shopping enjoyment, economic motivation and apparel shopping self-confidence have no direct relationship with buying intention. Additionally, no indirect relationship was found between apparel shopping self-confidence and buying intention. However, outcomes show that both perceived VDR informativeness and perceived VDR irritation mediate the relationships of shopping enjoyment and economic motivation with buying intention by different mechanisms when using VDR media. Additionally, the relationship between shopping enjoyment and buying intention is mediated via perceived VDR informativeness. Finally, economic motivation has both an indirect relationship with buying intention through perceived VDR irritation and a serial mediated relationship via perceived VDR irritation and informativeness.

This study is original in that it investigates the mediating effect of informativeness and irritation, from U&G theory, on buying intention during VDR media usage. Previous research suggests a direct relationship between shopping enjoyment, economic motivation, apparel shopping self-confidence, informativeness, irritation and buying intention. Results of this research suggest that online retailers should consider the different and complex mediating roles informativeness and irritation play in the relationship between consumer attributes and buying intention when adding media to a website.

The purpose of the paper is to bring to the attention of academics the innovations which have rapidly been developed to sell goods and services across sectors using what the authors describe as “confusion marketing”.

This is a conceptual, integrative, critical assessment of a number of marketing disciplines addressing aspects of confusion marketing. Confusion practices are evolving rapidly, with little theoretical explanation of why many of them are successful. This paper seeks to answer such questions by examining a wide range of sectors and confusion practices.

Patterns are identified across sectors, companies and business practices, providing the basis for this holistic assessment of marketing research on confusion since its inception and the design of a systemic framework of confusion.

The study attempts to bring all marketing schools and traditions of confusion together and presents a synthesis of scholarly accomplishments in the area by matching them, where possible, to current practices. It advances extant literature by designing a systemic framework which has, so far, been absent in marketing and by identifying avenues for future research maturation.

This discussion challenges assumptions regarding the ethicality, sustainability and profitability of confusion practices. Businesses practicing confusion are successful, suggesting that such practices may be economically sustainable. Contrary to expectations in marketing, confusion seems to benefit some consumers; confusion practices are not necessarily unethical or detrimental.

Confusion is a controversial area in marketing. Although the literature on confusion has grown, extant research continues to concentrate on consumers’ perceptions of confusion and tends to assume that confusion practices are undesirable, unethical and unsustainable. This paper provides a first integrative critical analysis of marketing thinking and challenges the aforementioned literature assumptions, demonstrating that past research has not sufficiently explained the nature, consequences and success of confusion marketing.

The purpose of this paper is to explore the relationships between best human resource management (HRM) practices, knowledge management (KM), organization learning and organizational capabilities (OC) and their impact on organizational performance. The proposed framework intends to add to the understanding of the specific processes that mediate between best HRM practices and organizational performance.

A range of relevant literature is explored and a conceptual model is proposed and discussed.

This paper proposes an answer to “how” best HRM practices can influence performance. It is suggested that KM and organizational learning (OL) play their own unique role in creating OC, which lead to superior performance.

The paper can help human resource managers to understand better the importance of OL and KM processes and the way best HRM practices, through the integration of these two processes, lead to superior and sustainable performance.

This paper attempts to shed some light on the processes through which HRM practices influence performance. The proposed conceptual framework is an original, complete model that will hopefully contribute towards the enrichment of the relevant literature. Moreover, it clarifies relevant terms and their relationship that seem to be surrounded by ambiguity.

The success of e-commerce websites depends on their effective communication and influence on their users. At first glance, the users are impressed by the website design and, if inspired, they would continue their operations on the website. This paper aims to evaluate the effects of visual aesthetic of the Web pages on users’ behavior in online shopping environment. In particular, the paper aims to evaluate the elements of visual aesthetic on the organism variables (i.e. “satisfaction,” “arousal,” “perceived on-line service quality” and “trust”) and measure them on the users’ response (i.e. purchase, comparison and re-visit).

Using the stimulus–organism–response (S-O-R) framework, the authors first assessed direct and indirect effects of visual aesthetics of e-commerce websites on customer responses. Then, the Visual Aesthetics of Websites Inventory (VisAWI) method was used to examine the effects of four dimensions (i.e. craftsmanship, simplicity, diversity and colorfulness) on users’ perceived website aesthetics. To do so, DigiKala.com, a famous Iranian e-commerce website was selected and the questionnaires were distributed among its users.

The study results revealed that the website aesthetics in the S-O-R evaluation had the greatest direct impact on “perceived quality of online services,” “trust,” “satisfaction” and “arousal,” respectively. These variables also indirectly affected “shopping,” “revisit” and “comparison to similar products on other websites.” Regarding the evaluations based on the VisAWI, the component “craftsmanship” played the most central role in expressing the website aesthetics, followed by the variables “simplicity,” “diversity” and “colorfulness,” respectively.

Although the considerable effect of Web aesthetics on customers’ purchase behavior has been identified in previous research, it has not been accurately measured. Furthermore, studies on Web aesthetics are mostly limited to information systems’ users and do not concern consumers. Therefore, considering the increasing growth in online shopping and the significance of Web aesthetics to online consumers, investigating how consumers respond to Web aesthetics is of vital importance.

Stimulated by trends in group purchasing and online social communities, consumers are changing their shopping behavior and increasingly turning to websites for their shopping needs. The purpose of this paper is to investigate how website quality influences shopping websites to create value for the customer and promote loyalty among customers, as well as moderating effects of online shopping experience.

This study collected data from 275 respondents for testing against the proposed research model by means of the partial least squares (PLS) path modeling. ADANCO software was used to assess the reliability and validity of the measurement model, conduct an analysis of the goodness of model fit for the overall model, and test the hypotheses through structural modeling.

Empirical results demonstrate that system quality and electronic service quality (e-service quality) have a significant positive effect on the perceived value of consumer/seller relationship; the perceived value of the consumer/seller relationship has a significant positive effect on online loyalty; online shopping experience does not exert a moderating effect on the relationship between website quality and the perceived value of consumer/seller relationship.

This study applied the PLS path modeling approach using ADANCO variance-based structural equation modeling software to verify that website quality plays an important role in distinguishing a brand from other brands in e-tailing, making it an essential factor of a shopping website’s business success. This study further verified that the amount of previous online shopping experience a consumer has does not interfere with the positive influence that website quality exerts on the perceived value of the consumer/seller relationship. The above indicates that it is imperative for website managers to adopt online shopping experience of consumers as a market segmentation variable so as to enhance website quality, increase the perceived value of consumer-seller relationships, and win consumer loyalty.

The purpose of this paper is to investigate the influencing factors of generation Z (Gen Z) consumers’ revisit intentions to robotic restaurants in the post-pandemic times.

Using a sample of Gen Z consumers with dining experiences in an Indian restaurant using service robots, the study empirically tests a research framework based on stimulus–organism–response theory.

The study explains how Gen Z consumer’s perceptions of functional attributes (i.e. perceived usefulness and perceived ease of use), socio-emotional attribute (i.e. perceived safety) and relational attribute (i.e. trust) shape their attitude, which in turn leads to their evaluations of performance outcomes and intention to revisit the robotic restaurants. The findings also indicate that perceived risk reduction of viral infection moderates the impact of performance outcomes on revisit intention.

Due to the outbreak of COVID-19 pandemic, the changing preferences of consumers have resulted in an increase in demand for restaurants offering robotic services. To support the long-term viability of service robots in restaurant services, the current study investigates what elements of service robots can determine consumers’ intentions to revisit the robotic restaurants during post-pandemic times.