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Performance assessment of green supply chain management (GSCM) requires a systematic approach because of its interdisciplinary and multi-objective nature. The purpose of this paper is to propose a model to the performance assessment of GSCM.

A model is proposed, grounded on a literature review on GSCM performance, after which the causal relationships and prioritization of the sub-criteria are analyzed by fuzzy Decision Making Trial and Evaluation Laboratory technique in a company operating in the cement industry.

An integrated holistic performance assessment model incorporating specifically six criteria and 21 sub-criteria is applied, which represents causal relationships and prioritization of sub-criteria.

The proposed model can be generalized, because an integrative framework can be used in future empirical studies to analyze performance of GSCM. However, the causal relationships and prioritization among sub-criteria are analyzed based on the needs and capabilities of the individual company; therefore, the causal relationships found are company specific.

The proposed model can be hired and implemented by companies striving for GSCM. This model allows companies to assess their current GSCM performance, analyze causal relationships, and prioritize sub-criteria.

Several studies have analyzed performance assessment in green supply chains; however, to the best of the authors’ knowledge, no study has taken an approach to performance assessment in GSCM that combines environmental, economics/financial, logistics, operational, organizational and marketing in the same framework. In addition, the cause-effect relationships identified will be the base for performance improvement.

The aim of this paper is to analyse the effects of flow experience on repurchase intention. In this context, this paper examines the mediating role of e-customer satisfaction during COVID-19 pandemic. This study is based on flow theory using two consequent factors, which have not been investigated together previously.

A questionnaire consisted of flow experience dimensions and e-customer satisfaction, repurchase intention. An online survey was conducted with 478 consumers who experienced flow in online shopping. Exploratory factor analysis and structural equation modelling were used to test research hypotheses. The research study data were collected between 20 March and 31 May 2020, during the spread of COVID-19.

Telepresence, concentration and control dimensions of flow experience have a significant effect on e-customer satisfaction. In addition, it was determined that the change in repurchase intention was caused by concentration and telepresence dimensions of flow experience. Therefore, it was found that e-customer satisfaction has a significant effect on repurchase intention. As a result, it was determined that e-customer satisfaction has a partial mediating role in the effect of flow experience dimensions of telepresence, concentration and control, and a full mediating role in the effect of flow experience dimension of time distortion on repurchase intention.

The limitations of the study are that research was conducted on only one retail company and a limited number of participants were reached. In addition, some flow experience dimensions were excluded in the study, constituting another limitation.

This paper contributes flow theory literature by modelling flow dimensions as an independent variable that affects e-customer satisfaction and repurchase intention. In addition, different dimensions of flow experience in online retailing have been discussed, and no study has been found that discusses flow experience dimensions (goal clarity, enjoyment, curiosity, control, telepresence, time distortion, concentration) together. This study conducted during COVID-19 pandemic would produce a different perspective on flow experience in e-retailing

The growth of omni-channel retailing is causing consumers to change their habits and shopping behaviour. It is essential to understand the factors on purchase intention within the consumer context. The purpose of this paper is to explore factors that are influencing consumers to use omni-channel in their shopping behaviour – specifically in the apparel sector in Turkey as an emerging country.

Designed as exploratory research, this study used four different focus groups. Focus groups were conducted with university students who have experienced the company’s omni-channel applications. The study sample included a total of 30 purposefully selected university students in Izmir, Turkey, who previously shopped at the same store. The selected retail store is the leading domestic shopping brand and the pioneer in omni-channel in the apparel and fashion sector in Turkey. The participants were given three company-related scenarios which were used to help the students to better understand omni-channel applications of the company. Then, they were asked to discuss their perceptions and intentions towards omni-channel shopping. Content analysis was used for analysing transcripts.

The findings of the focus groups have revealed 12 themes about the intentions of the university students towards omni-channel shopping. Among 12 themes, it is observed that 6 of them have similarities with the variables of the UTAUT2 model. The findings of the study showed that, beside the additional themes, the predetermined variables of the UTAUT2 model within the literature; which are “performance expectancy”, “effort expectancy”, “facilitating conditions”, “hedonic motivation”, “habit” and “price value” have affected purchasing intentions towards omni-channel shopping. This study proposed six additional themes which were not revealed in the previous studies on purchase intentions in an omni-channel shopping in apparel sector. The six additional themes proposed in this study are; “perceived trust”, “situational factors”, “perceived risk”, “anxiety”, “need for interaction” and “privacy concern”.

This study is limited to the focus group interviews held in only one university with students from the same programme. The findings are obtained also only valid for the relevant retail store and city, and cannot yet be generalised.

The relationships suggested in this exploratory study can further be analysed by quantitative study. It is also claimed that the findings of this study can act as a framework to extend the UTAUT2 model by integrating perceived trust, situational factors, perceived risk, anxiety, need for interaction and privacy concern. This model will enable retailers to understand consumer expectations towards omni-channel shopping and to focus on integrating these factors through whole purchasing process in order to increase omni-channel sales.

The literature on omni-channel has concentrated on the retailers’ perspective, whereas this study aims to reveal an insight from the consumer perspective. The contribution of the study is to provide a framework for understanding the themes on consumer viewpoint in the omni-channel shopping behaviour.

The purpose of this paper is to predict customers’ intentions to use self-checkouts based on the technology acceptance model (TAM).

The questionnaire consisted of constructs taken from the existing literature such as perceived ease of use (PEU), perceived usefulness (PU), behavioral intentions, technology anxiety (TA), perceived risk (PR), need for interaction (NI), and situational factors (SF). Before preparing the questionnaire, the focus group studies were organized to gain deeper insights regarding customers’ views about self-checkouts. Based on the results of the focus groups, some items in the constructs were adapted, and the questionnaire was generated. The field study was conducted via face-to-face survey with 500 customers chosen by stratified random sampling. Confirmatory factor analysis and structural equation modeling were used to validate the relationships hypothesized in the conceptual model among constructs.

Out of the 16 hypotheses, 10 were found to be significant. The hypotheses related to the effects of PR, PEU, PU, intentions, while the effects of NI on PU and intentions; the effects of SF on intentions were not accepted in the study. According to the findings, PEU, PU, and TA affected intentions whereas PR, NI, and SF did not.

There were some limitations related to demographics, attitudes, SF, and actual usage of self-checkouts.

To avoid queues, retailers should install a sufficient number of user-friendly and simple interfaced self-checkouts with well-trained employees to encourage usage and reduce the perceived risk and anxiety.

The main contribution of this study was that the effects of different constructs were measured on Turkish customers’ intentions to use self-checkouts, which could be used in formulating marketing strategies as well as considering future research directions. The paper also provided additional insights into the effects of SF, TA, NI, and PR, all of which were added to the TAM in this study.

The purpose of this paper is to analyze parents’ intentions toward the anti-consumption of junk food for their children. The paper incorporated the theory of planned behavior (TPB) using two external factors, which previously have not been investigated together.

A questionnaire was designed from previous studies consisting of the constructs of the TPB (intention, attitude, subjective norm, perceived behavioral control) and two external factors (anticipated regret and perceived risk). An online survey was conducted among 392 participants. Confirmatory factor analysis and structural equation modeling were used to test the hypotheses.

All hypotheses were supported. Attitudes, subjective norms and perceived behavioral control affected parental intentions toward the anti-consumption of junk food. The two external factors of the model also affected parental intentions toward the anti-consumption of junk food.

There were four limitations regarding participants, the research model and product type.

Junk food producers, sellers, fast food restaurants and public policies should encourage healthy lifestyles, particularly for children. Junk food producers and fast food restaurants should offer healthier nutritional options. Governmental policies should include legal regulations to restrict marketing strategies for unhealthy products. Parents, as the primary influencers of children, should be educated regarding the anti-consumption of junk food.

The study contributed to the anti-consumption literature by analyzing buying intentions toward junk food within the concept of anti-consumption, analyzing intentions by adding anticipated regret and perceived risk to the TPB model and analyzing the effects of perceived risk on anticipated regret.

Today, the transition of retailers from multi-channel and cross-channel to omni-channel has become a necessity. Customers’ perceived shopping value is also one of the most important factors for retailers’ success. Therefore, the purpose of this paper is to develop and validate the omni-channel shopping value scale.

Based on 40 interviews (X = 18, Y = 22) and a literature review, items were generated for shopping value dimensions (utilitarian, hedonic and social) at four touchpoints. Then exploratory factor analysis was performed for scale purification (n = 562). Confirmatory factor analysis (CFA) was performed (n = 528) for initial scale validation. A second CFA was conducted to validate the final scale (n = 302). To check the nomological validity of the scale, the effect of omni-channel shopping value on customer engagement (n = 455) was investigated in both generations.

According to the results of the qualitative study, 73 items were identified. Based on the results of exploratory and CFA, nine components (50 items) were extracted and confirmed: utilitarian, hedonic and social shopping values for offline touchpoint and utilitarian and hedonic shopping values for online, application and social networks touchpoints. The results of nomological validity of the scale confirmed the effect of omni-channel shopping value on customer engagement in both generations.

To the best of the authors’ knowledge, this study is the first attempt to develop and validate an omni-channel shopping value scale based on customers’ shopping experiences with omni-channel brands. Therefore, this study provides a useful tool for researchers and marketing managers to measure omni-channel shopping value.

As in line with eco benchmarking, the purpose of this paper is to solve a location selection problem in an emerging country by applying sustainability benchmarking principles.

A hybrid multi-criteria decision-making method, fuzzy AHP and Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE), is used as methodology to make sustainability benchmarking for logistics center location selection.

It is revealed that according to AHP and PROMETHEE calculations, Kemalpasa is determined as the most appropriate location from the sustainable perspectives. Torbali is specified as the worst location to construct a logistics center in terms of benchmarking criteria based on sustainability concerns. Based on these numerical results, managerial implications are presented with a sustainability benchmarking view.

The main originality of this study is integrating one of the relatively new topics, sustainability benchmarking, with a popular area, logistics center location selection.

Despite great consensus on the positive impact of big-data-driven artificial intelligence (AI) analytics (BDAI) on a firm’s performance, it still appears to be a black box mechanism through which small and medium-sized enterprises (SMEs) strengthen their dynamic competencies to innovate and expand their global footprint. To fill this theoretical and empirical gap we examine the relationship between BDAI affordances, digital marketing capabilities (DMCs), value-chain innovation and international market goals.

The study incorporates the dynamic capability view an extension of the resource-based view and the knowledge-based view to empirically examine the primary data collected from marketing managers and executives of SMEs in cultural and creative industries utilizing Structural Equation Modeling (SEM) analysis.

The study highlights the significant role of BDAI affordances such as intelligent process recommendations, customer intelligence and market intelligence on DMCs, where DMCs significantly affect value-chain innovation and international market strategy both directly and indirectly.

The study minimizes the gap in identifying the BDAI affordances to drive innovation and international market strategy in the context of SMEs in cultural and creative industries. Marketing managers can incorporate these findings to enhance their digital capabilities for competitive advantages in international markets.

The study proposes a holistic framework of BDAI affordances for the strategic use of digital resources and knowledge to transform digital capabilities into new forms of value to expand in the international market. These insights are robust and grounded in findings provided by marketing practitioners.