Antecedents of flow in retail store shopping

“Flow” has been established as a critical determinant of an online shopping experience. Online consumers with flow experience tend to be less price-sensitive and to have favorable attitudes and high re-patronage intention. As retail stores account for 90% of retail sales, it is important to advance our knowledge of flow theory in physical retail stores. However, the antecedents (navigational challenge, web skill) derived from the extant online flow literature are not applicable to in-store shopping. To fill the void, the two objectives here are (1) to provide a theoretical foundation to develop the antecedents (challenges and skills) associated with in-store shopping, and (2) to examine their impacts on consumer flow experience (concentration, control, and enjoyment) and subsequent future shopping intentions. The results will advance the literature of flow and offer helpful suggestions to retail marketing.     

Formulation and estimation of dynamic models using panel data

This paper presents a statistical analysis of time series regression models for longitudinal data with and without lagged dependent variables under a variety of assumptions about the initial conditions of the processes being analyzed. The analysis demonstrates how the asymptotic properties of estimators of longitudinal models are critically dependent on the manner in which samples become large: by expanding the number of observations per person, holding the number of people fixed, or by expanding the number of persons, holding the number of observations per person fixed. The paper demonstrates which parameters can and cannot be identified from data produced by different sampling plans.     

Forecasting a long memory process subject to structural breaks

We develop an easy-to-implement method for forecasting a stationary autoregressive fractionally integrated moving average (ARFIMA) process subject to structural breaks with unknown break dates. We show that an ARFIMA process subject to a mean shift and a change in the long memory parameter can be well approximated by an autoregressive (AR) model and suggest using an information criterion (AIC or Mallows’ _Cp$C_p$) to choose the order of the approximate AR model. Our method avoids the issue of estimation inaccuracy of the long memory parameter and the issue of spurious breaks in finite sample. Insights from our theoretical analysis are confirmed by Monte Carlo experiments, through which we also find that our method provides a substantial improvement over existing prediction methods. An empirical application to the realized volatility of three exchange rates illustrates the usefulness of our forecasting procedure. The empirical success of the HAR-RV model can be explained, from an econometric perspective, by our theoretical and simulation results.     

The endogenous role of location choice in product innovations

The location choice of product innovations is a prevalent phenomenon one that has received little attention in the literature. This study examines the ways in which comparative industry environment, technology and product characteristics, and entry timing affect the firm's location choice of new product development activities between headquarters and foreign subsidiaries and the implications of location choice for performance. Our findings indicate that: (1) firms are more likely to locate their new product development activities at foreign subsidiaries in mainland China than at headquarters in Taiwan when the industry environment at foreign subsidiaries is more favorable, when technologies and products are more mature, and when the entry to mainland China's market is earlier than that of its competitors; (2) in general, firms locating their new product development activities at headquarters in Taiwan perform better than firms locating their new product development activities at foreign subsidiaries in mainland China after controlling for endogeneity bias; (3) firms locating their new product development activities at headquarters (at foreign subsidiaries) perform better than if they had located their new product development activities at foreign subsidiaries (at headquarters). Managerial implications and future research directions are discussed.     

How the introduction of concepts of energy saving and carbon reduction (ESCR) can affect festival visitors’ behavioural intentions: an investigation using a structural model

This study investigates the relationships across a behaviour model of festival visitors based on a major festival encouraging energy saving and carbon reduction (ESCR). Using the 2010 Taipei International Flora Exposition (Taiwan) as a case study, 275 visitors completed a questionnaire, the answers to which were assessed using a structural equation model to test the behaviour model and its six hypotheses. The results showed that behaviour intentions are the best predictors of “value orientation”, “motivation for visiting”, “visitor experience” and “attitude towards behaviour”. Specifically, a highly positive correlation between visitors’ motivations and their experiences was found, suggesting that the presentation of festival activities influences visitors’ perceptions. The ESCR curriculum design and pedagogy, especially the inclusion of reflective learning, was found to be very important for the successful planning of future events, as was green transportation using advanced, energy-saving vehicles and effective waste processing and disposal at the site. Prior studies have explored links between festival tourism and behavioural change, but have often focused on Western contexts; this study provides an Asian cultural setting. Suggestions are made for future research.     

Integrated reporting: background,measurement issues,approaches and an agenda for future research

We discuss the background to integrated reporting, a new reporting framework focused on firms’ future value creation narrative. We consider why integrated reporting is an area of interest for the accounting profession, accountants, investors, regulators and managers. We provide an overview of the integrated reporting literature, discuss measurement and research design issues to take into account when designing studies on integrated reporting and identify approaches and set an agenda for future research.     

A service innovation framework for start-up firms by integrating service experience engineering approach and capability maturity model

The service sector contributes more than 70 % to the GDP of many countries in which their services should continually be innovated to improve customer satisfaction. This study reviews the literature from 1995 to 2014 in the field of service innovation, service experience and engineering, and maturity model. Results show that the existing service innovation frameworks lack a focus on business process improvement, particularly for start-up firms. It causes the startups not ready enough to deal with inevitable challenges that may be encountered in the future. Accordingly, this study proposes a novel framework that combines the service experience engineering method and capability maturity model of integration for service to develop a new innovative service and improve service quality process for start-up firms. A practical case is implemented by applying the proposed framework. A service innovation prototype system is developed on the basis of the case study to deliver a mobile campus merchandise purchasing service.     

A novel framework for customer complaint management

Complaining is one option available to customers to express their dissatisfaction with inadequate services. Their complaints contain valuable information for service providers to improve customer relationships and operational quality, which can ultimately enhance business profitability. Customer complaints are frequently handled at the individual level, however, which addresses the symptoms rather than the causes of customer dissatisfaction. This paper presents a framework integrating a decision tree approach, a common data mining tool, into Six Sigma methodology to analyze customer complaints in aggregate and improve service quality by identifying and addressing the underlying causes of failed service. A case study of a restaurant chain was used to demonstrate the effectiveness of the proposed framework. The results indicated a significant (60%) decrease in the number of customer complaints received. Subsequent long-term benefits can be expected.     

Transcendent Experience,Flow and Happiness for Mountain Climbers

Mountaineering has become a popular form of adventure tourism. However, previous research has never explored the construct of transcendent experience and its effects on mountaineering. The purpose of this study is to investigate the relationships among transcendent experience, flow and happiness. Survey data from 339 mountain climbers in Taiwan indicate that transcendent experience positively affects flow and happiness. In addition, flow mediates the effect of transcendent experience on happiness. However, the relationship between flow and hedonic enjoyment is insignificant for novices. Implications of these findings as well as future research are subsequently discussed. Copyright © 2012 John Wiley & Sons, Ltd.