Creating competitive advantage: Linking perspectives of organization learning,innovation behavior and intellectual capital

Drawing on learning theories and the intellectual capital (IC) theory, organizational learning research has discussed the benefits of searching for market opportunities and maintaining a competitive advantage in dynamic environments. To explain organizational performance and survival, the previous literature has focused mainly on what organizations do, but it has failed to address how and what they should do. This study argues that if hotel management is open-minded about exploratory and exploitative learning, it can open the door to capturing opportunity and competitive advantage through increased innovation behavior and human capital accumulation. Further, IC theory has also confirmed that social capital and relational capital will strengthen the relationship between innovation behavior and human capital. This study analyzes data from 595 hotel managers and finds strong support for the proposed hypotheses.     

A Gendered Model of the Peasant Household: Time poverty and Farm Production in Rural Mozambique

Using insights from a case study on the allocation of labor in subsistence households in Mozambique, this study develops a conceptual framework for examining linkages between time poverty and farm production. An unexpected event such as a health crisis increases the demand for labor provided by women, thus making them more time poor. The model and numerical simulations show that a deterioration in a woman's time constraint will have an adverse effect on agricultural output of the household. This occurs because most women respond to an increase in household work by reducing their work hours on the farm and by reducing their leisure time. The latter outcome is expected to have a negative effect on women's physical and mental health, which will then cause a decline in their productivity on the farm.     

Following brands on Twitter: an extension of theory of planned behavior

Due to its immediacy and efficiency, Twitter has recently emerged as a form of marketing communication tool that offers unique advantages for two-way communication between marketers and consumers. This study examines brand-following behavior on Twitter using the Ajzen's model of theory of planned behavior (TPB). Results show that attitude toward brand following, subjective norm, perceived behavioral control, and brand attachment are positively associated with intention to follow brands on Twitter. Consumers’ intention to create (i.e., intention to tweet at brands) and disseminate (i.e., intention to retweet the links of brands) brand-related information, as well as purchase intention, are the outcomes of intention to follow brands on Twitter. Overall findings suggest that TPB model can be used to predict Twitter users’ brand-following behavior. More importantly, our finding that brand attachment drives consumer intention to follow brands on Twitter extends the TPB framework. This study provides both theoretical and managerial implications.     

Factors affecting donations in U.S. retail stores: A conceptual framework

The purpose of this study is to identify the factors that influence consumer donations in U.S. retail stores. The study provides a conceptual framework of factors derived from the cause-related marketing, consumer behavior and psychology literatures. These factors are categorized as consumer-related factors, retailer-related factors and context-related factors. Consumer-related factors include consumer-retailer identification, consumer-cause affinity, impure altruism, civic engagement and post-purchase cognitive dissonance. Retailer-related factors consist of retailer-cause fit, retailer's commitment to the cause, retailer image as being altruistic, and retailer credibility. Context-related factors include time pressure, social pressure, shopping amount, and perceived savings during the shopping trip. This conceptual framework serves as a foundation for future empirical studies.     

Stochastic seat allocation models for passenger rail transportation under customer choice

We study the seat allocation problem for passenger rail revenue management, in which a rail operator attempts to determine the optimal quantity of seats to be allocated to each cabin class for each train service. We formulate the problem with single-stage and multi-stage decisions as two stochastic programming models that incorporate passengers’ choice behavior. We transform the stochastic models into equivalent deterministic mathematical programs that are easy to solve. Then, we form a variety of seat allocation polices from the optimal solutions to the seat allocation models. A number of simulation tests are offered to test the policies.     

Factors influencing theme park visitor brand-switching behaviour as based on visitor perception

With the development of theme parks, which represent a multi-million-pound industry worldwide, research investigating the factors affecting theme park visitor brand-switching behaviour is an important method for improving theme park competitiveness. In the present work, models and research hypothesis are constructed based on visitor perception, and the survey data are collected and analysed to assess the hypothesis and to revise the conceptual model in this paper. The results indicate that there are seven factors influencing visitor brand-switching behaviour: ‘visitor variety-seeking', ‘visitor satisfaction', ‘switching cost', ‘perceived value', ‘competitor attraction', ‘theme park image' and ‘visitor involvement'. The perceived value and visitor satisfaction strongly influence brand-switching behaviour as intermediate variables. Visitor variety-seeking and competitor attraction are positively related to visitor brand switching behaviour, whereas the other five factors are negatively related to visitor brand-switching behaviour.     

Advancing destination image: The destination content model

Knowledge of the mental representations that individuals hold about tourist destinations are important to understand their intentions. These mental destination representations have often been investigated by applying the concept of destination image. This study argues that the extant literature is often rather atheoretical and lacks operational rigor. These are major shortcomings which undoubtedly hinder the development of academic and managerial insights. In response, this study draws on contemporary psychology to develop the destination content model, comprising three informational components held in individuals‘ minds about destinations. The present study further outlines preferable methods and measures for each component, thus aiding researchers to investigate mental destination representations.     

Police culture,tourists and destinations: A study of Uttarakhand,India

The present study examines the quality of service provided by police officials at tourist sites in the Uttarakhand region, India and its impact on the level of tourists' confidence in the police. The study also investigates the role that police culture plays in determining quality of service and the effect of leader behavior in moderating the relationship between them. A survey method was used for data collection from the police officials and the onsite tourists. Data analysis was carried out using CFA and an SPSS macro named PROCESS. Results showed that police organizational culture has a direct influence on tourists' confidence in the police and police service quality partially mediates the relationship between the two; also leader behavior positively moderates between police culture and service quality. This study adds to the literature on tourists' confidence in the policing of tourist sites, police culture, leader behavior, and police service quality.     

Modifying and applying time and cost blocks: The case of E-Da theme park,Kaohsiung, Taiwan

The main purpose of this study is to modify and apply a management tool called time and cost blocks (TCB). The model was modified to adjust how the “benefit indicator” was measured and further enhanced by inclusion of visitor satisfaction scores and revisiting intention. Data collection was accomplished by means of a diary-type semi-structured questionnaire, which was administered in face-to-face interviews with 655 visitors of the E-Da World theme park in Kaohsiung, Taiwan. The results indicate that participation intensity (PI) and benefit indicator (BI) have a significant relationship with satisfaction and revisiting intention.