Role of multidimensional customer brand engagement on customer behavior for online grocery shopping

This study aims to understand the relationship between environmental consciousness and multidimensional (i.e., cognition, affection, and activation aspects) of customer brand engagement (CBE) in relation to online grocery shopping. It also investigates the moderating effect of customer characteristics on the associations among environmental consciousness, CBE, and behavior intention. 358 Korean respondents took part in this research using an online survey to assess the impacts of multidimensional CBE for online grocery. The outcomes reveal that environmental consciousness positively influences cognition and activation aspects of CBE. Additionally, activation, affection, and cognition aspects of CBE positively affect behavioral intention. Multi-group analysis is performed to identify the difference among customers in low and high customer characteristics. In addition, by demonstrating a role for CBE, this study adds to the existing literature on online grocery. Furthermore, the outcomes of this research provide direction for building marketing strategies for online groceries for marketers and practitioners.     

Age as double‐edged sword among victims of customer mistreatment: A self‐esteem threat perspective

Service workers are expected to maintain high‐quality service delivery despite customer mistreatment—the poor‐quality treatment of service workers by customers—which can be demeaning and threatening to self‐esteem. Although service work is increasingly delivered by middle‐aged and older workers, very little is known about how employees across the age range navigate abuse from customers on the job. Does advancing age help or hinder service performance in reaction to customer mistreatment? Drawing on strength and vulnerability integration theory, we proposed that age paradoxically both helps and hinders performance after customer mistreatment, albeit at different stages. We tested our proposed model in a two‐sample field investigation of service workers and their supervisors using a time‐lagged, dyadic design. Results showed that age heightens the experience of self‐esteem threat but, nevertheless, dampens reactions to self‐esteem threat, leading to divergent effects on performance at different stages. Implications for age and service work, as well as aging and the sense of self, are discussed.     

A spatial autoregressive stochastic frontier model for panel data incorporating a model of technical inefficiency

By integrating Battese and Coelli’s (1995) model and the spatial autoregressive model (SAR), a spatial autoregressive stochastic frontier model for panel data is developed. The main feature of this frontier model is a spatial lag term of explained variables and the joint structure of a production possibility frontier with a model of technical inefficiency. The model addresses both spatial dependence and heteroskedastic technical inefficiency. This study applies maximum likelihood methods considering the endogenous spatial lag term. The proposed model nests several existing models. Further, an empirical analysis using data on the Japanese manufacturing industry is conducted and the existing models are tested against the proposed model, which is found to be statistically supported. The findings suggest that estimates in the existing spatial and non-spatial models may exhibit bias because of lack of determinants of technical inefficiency, as well as a spatial lag. This bias also affects the technical efficiency score and its ranking.     

Evaluating discounts as a dimension of customer behavior analysis

Today, increased competition between organizations has led them to seek a better understanding of customer behavior through identifying valuable customers. Customers’ expectations about the price and quality of products and services play an important role in their selection process. In online businesses, competition and price differences between suppliers is high, so discounts will attract different customers. As a result, discounts and the frequency and amount of purchases can lead to better understanding of customer behavior. Customer segmentation and analysis is essential for identifying groups of customers. Hence, this study uses a model based on RFM called RdFdMd, in which d is the level of discount used to analyze customer purchase behavior and the importance of discounts on customers’ purchasing behavior and organizational profitability. The CRISP-DM and k-mean algorithm were used for clustering. The results indicate that using the R_dF_dM_d model achieves better customer clustering and valuation, and discounts were identified as an important criterion for customer purchases.     

Resource Dependence and Network Relations: A Test of Venture Capital Investment Termination in China

This study examines how venture capital (VC) firms terminate investments in an emerging economy context. We contend that due to the weak institutional environment, it is appropriate to draw on insights from power and social relation perspectives for a better understanding of the phenomenon. Specifically, we argue that a termination decision hinges on not only the dependence relationship between a VC firm and its portfolio companies, but also the social relationships among VC firms. Event history analyses of approximately 12,000 VC deals made in China between 2001 and 2012 reveal that when a VC firm has a greater number of investments in an industry, it is more likely to terminate investments on a portfolio company in that industry. Moreover, such effect on termination is moderated by the focal VC's embeddedness with its syndicate partners and collaboration opportunities with other VC firms outside the immediate access of the syndicate partners. Our study sheds light on research on VC decision making in emerging markets by integrating insights from resource dependence relationships and interorganizational network characteristics.     

Consequences of Customer Dissatisfaction in Upscale and Budget Hotels: Focusing on Dissatisfied Customers’ Attitude Toward a Hotel

It is important to understand customer dissatisfaction in order to maintain a sustainable business, given that the negative effects of customer dissatisfaction in service businesses may be even greater than the positive effects of satisfaction. This study investigates customer dissatisfaction and its consequences by focusing on the mediating role of attitude toward a hotel according to different hotel classes related to customer expectation level. The results show a mediating role for attitude in the relationship between customer dissatisfaction and specific negative behavioral intentions. This study broadens our knowledge of customer dissatisfaction and the role of attitude toward a hotel in the relevant literature. The empirical findings demonstrate that regardless of hotel type, customer dissatisfaction significantly affects their attitude and their consequent negative behavioral intention.     

Enhancing customers’ brand loyalty via branded hotel apps

Many hotels have launched their own branded mobile applications to develop relationships with customers. Yet, research examining the benefits of branded hotel apps on brand loyalty is scant. The current research investigates the role of branded hotel apps on brand loyalty through customer engagement and brand trust in the hotel industry, based on uses and gratifications theory. Results identified cognitive and social benefits of the branded hotel apps positively influenced customer engagement and brand trust. Hedonic benefits positively influenced customer engagement and they indirectly influenced brand trust through customer engagement. Both customer engagement and brand trust positively influenced brand loyalty. Moreover, mediation effects of customer engagement and brand trust were identified. Results highlight how branded hotel apps serve as a facilitator of brand loyalty, providing theoretical and managerial implications.     

Sustainable dressing: Consumers' value perceptions towards slow fashion

Slow fashion that improves with an increasing awareness of sustainability has changed consumers' value perception and purchasing behaviours. The aim of this study is to determine slow fashion dimensions that influence consumers' value perceptions for slow fashion products and to reveal the effects of the perceived value on consumers' intentions to purchase and willingness to pay higher prices. The sample includes 725 students pursuing higher education in Turkey and Kazakhstan. Exploratory and confirmatory factor analyses were used to specify the factor structure of the variables used in the research, and structural equation modelling was used to test the hypotheses. Data analysis showed that authenticity, locality, and exclusivity aspects in Turkey and equity, functionality, locality, and exclusivity aspects in Kazakhstan contributed to perceived customer value. Perceived customer value in both groups positively affects the intention to purchase and the willingness to pay higher prices. In addition, consumers who intend to purchase slow fashion clothing are willing to pay higher prices than other products. The results suggest that consumers in different countries have different orientations that influence their perceptions of value. From this perspective, this study can provide designers with insights on the importance of making sustainable designs that are appropriate to the target market beyond the trends imposed by the global fashion industry.     

Improving candy industry competitiveness: Retailers’ perception regarding customer satisfaction

This study aims to classify service quality elements in candy industry in order to determine their instrumentality to customer satisfaction. To address this purpose, a Fuzzy Kano questionnaire was distributed to 512 major retailers of candy products of four predominant candy companies in Iran. Subsequently, we calculated satisfaction increment index (SII) and dissatisfaction decrement index (DDI) for each of the quality elements. Brand name and quality are considered as must-be elements, while availability of credit purchases is considered as indifferent element by the majority of retailers. Eight out of 24 studied elements are found to be considered as attractive elements by majority of customers. Regular visits element ranks first in terms of satisfaction increment index (SII). This paper provides helpful insight for marketers to prioritize improvement of different quality elements. Therefore, this paper helps organizations to perceive their customers needs more thoroughly and improve their customer satisfaction policy.     

Exchange market pressure and primary commodity – exporting emerging markets

This paper studies short-term sensitivity between exchange market pressure and various domestic and external factors in primary commodity-exporting emerging markets. The paper focuses on the top country-commodity groups in sugar, cereal, fuels, ores and coffee during the pre-peak and post-peak commodity price periods across floating and pegged exchange rate regimes, using the price of crude oil as a general benchmark. Employing a panel model and panel VAR analysis, the paper finds the heterogeneity of response patterns unique to country-commodity groups and exchange rate regimes. According to the results, in flexible regimes, volatility occurs via the foreign exchange market, interest rates, and domestic credit cycles, feeding into the social costs for structurally weaker economies. Hard exchange-rate pegs often result in a drain on international reserves as the terms of trade deteriorate following post-price peaks, leading to unpopular depreciation. These results accentuate concerns over uneven international trade patterns, an open economy’s short-term foreign exchange policy, and speculative capital flows. Such sensitivity has broad implications for macroeconomic balance and the sustainability of implied exchange rate targets in the presence of a foreign exchange constraint across emerging markets.