E-tailer personality and behavioral intentions: the application of self-congruity theory

The present study is an effort to develop an e-tailer personality scale. Subsequently, we check the impacts of e-tailer personality on self-congruity and behavioral intentions such as intention to re-shop and intention to recommend. We have followed a traditional scale development method – item generation, purification, and dimension assessment. A structure questionnaire has been used to collect primary data online. A structure equation model was used to analyze the data. This study has developed a e-tailer personality scale of five dimensions: sophistication, competence, excitement, sincerity, and convenience. The results of a structural equation model largely support the propositions that e-tailer personality is positively related to self-congruity. The results also show that e-tailer personality, behavioral intentions and self-congruity are positively related. A comparison of the developed scale with the existing brand personality scales, results in a unique dimension of e-tailer personality scale. Arguably, this study may be seen as a first study in an emerging economy and online retailing domain. The results have both academic and managerial implications.     

Subsidiary-specific advantages for inter-regional expansion: The role of intermediate units

This paper explores the distinctive deployment of resources and capabilities by subsidiaries in order to develop an intermediate role within the MNC. Based on the regional management perspective, we focus on a specific intermediate role—the springboard subsidiary—that helps overcome the liability of inter-regional foreignness. Our results, which are based on a dataset covering 188 subsidiaries, show that the probability of taking on this role is contingent upon experiential knowledge about the target region, as well as a rich knowledge base derived from a wide range of activities and a broad geographical scope. Our findings also show that possession of slack resources does not necessarily mean that a subsidiary will take on this role, as such slack must be combined with experiential knowledge. This paper serves as a first step in helping MNCs plan resource allocation to handle inter-regional expansion.     

Selection of influential variables in ordinal data with preponderance of zeros

Presence of excess zero in ordinal data is pervasive in areas like medical and social sciences. Unfortunately, analysis of such kind of data has so far hardly been looked into, perhaps for the reason that the underlying model that fits such data, is not a generalized linear model. Obviously some methodological developments and intensive computations are required. The current investigation is concerned with the selection of variables in such models. In many occasions where the number of predictors is quite large and some of them are not useful, the maximum likelihood approach is not the automatic choice. As, apart from the messy calculations involved, this approach fails to provide efficient estimates of the underlying parameters. The proposed penalized approach includes ?₁ penalty (LASSO) and the mixture of ?₁ and ?₂ penalties (elastic net). We propose a coordinate descent algorithm to fit a wide class of ordinal regression models and select useful variables appearing in both the ordinal regression and the logistic regression based mixing component. A rigorous discussion on the selection of predictors has been made through a simulation study. The proposed method is illustrated by analyzing the severity of driver injury from Michigan upper peninsula road accidents.     

The mitigating effect of matching regulatory focus with arousal-inducing stimuli in service failure situations

Service failures are pivotal touchpoints that can reduce customer satisfaction, encourage negative word-of-mouth, and ultimately impact a firm's market share. We advance a novel perspective that after a service failure occurs, matching incidental arousal-inducing stimuli to one's regulatory orientation can make the negative experience stemming from the service failure less deleterious. In three experiments (two stock out scenarios and one involving a rude salesperson), after a service failure, promotion-focused and prevention-focused individuals were exposed to high versus low arousal-inducing stimuli. Three approaches available to retailers were used to manipulate arousal levels: background pictures (Study 1), colors (Study 2), and music (Study 3). When high (low) incidental arousal-inducing stimuli were presented to those with a promotion (prevention) focus, this raised satisfaction, loyalty, and referral for brands compared to when promotion (prevention)-focused individuals were exposed to low (high) arousal-inducing stimuli. Changes in self-rated arousal and affect valence levels (arousal and valence levels were measured after the service failure and then after exposure to the incidental arousal-inducing stimuli) mediated the effect on these consumer behaviors. These insights extend theory by considering the combined effect of regulatory focus and affect. They also have practical relevance.     

The Perfect Fit: The Moderating Role of Selling Cues on Hedonic and Utilitarian Product Types

With the need among retailers to create effective promotional campaigns, scarcity, and popularity cues are increasingly used. Drawing from regulatory focus and popularity versus scarcity cues literature, this research explores the impact of popularity versus scarcity cues and product types on consumer perceptions of risk, product uniqueness, and purchase intentions. Results from three studies provide primary insights: (1) A utilitarian product aligns with prevention goals and hence the popularity cue will enhance consumers’ purchase intentions, and (2) a hedonic product aligns with promotion goals and hence the scarcity cue will enhance consumers’ purchase intentions. Further, we theorize that perceived risk and perceived product uniqueness will act as psychological mechanisms. We discuss theoretical contributions and strategic insights for retailers and marketers that the findings indicate.     

Public bicycle as a feeder mode to rail transit in China: The role of gender,age, income,trip purpose,and bicycle theft experience

A marriage between public bicycle and rail transit presents new opportunities for sustainable transportation in Chinese cities. To examine determinants of public bicycle usage for rail transit access, an intercept survey of feeder mode choice among rail transit users was conducted near rail stations in Nanjing, China. Mode choice models were estimated with five feeder mode alternatives, including car, bus, walk, private bike, and public bike. By differentiating between public and private bicycle modes in the mode choice models, the study reveals the effects of personal demographics, trip characteristics, and station environments on public bicycle usage for rail transit access. Results show that female, older, and low-income rail commuters are less likely to use public bicycle to access rail transit. Rail commuters with bicycle theft experience and making school- or work-related trips are more likely to use public bicycle to access rail transit. Land use variables are largely insignificant in this study except that density shows a positive relationship with walking to rail transit. The results on demographic differences raise equity concerns when it comes to investing in public bicycle systems. Policy implications are discussed for Chinese cities to equitably boost public bicycle integration with rail transit.     

Impact of MGNREGA on the livelihood security of rural poor in India: a study using national sample survey data

This paper studies the impact of the Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGA) at the all-India level utilizing nationally representative data from the national sample survey (NSS). We propose an alternative methodology for the proper identification of target households in the baseline period using a secondary data source such as the NSS. The programme is assessed in terms of whether it has been successful in ensuring livelihood security for beneficiary households. The study found that the increase in spending capacity of non-beneficiary households was greater than MGNREGA beneficiary households. Moreover, the overall growth trend in spending capacity over time had a greater effect in improving the livelihood security of the target households than the estimated effect of the programme.