Search results

We searched JM from 1990 to 2005 to identify all studies that employed OLS regression.¹ The search resulted in 83 articles with 147 OLS regressions. Many authors specifically state that they used OLS and these were promptly included in the sample. Other authors acknowledged regression as a methodological procedure without explicitly specifying an estimation technique. To inquire whether OLS was used, we communicated with all of these authors. In all, 51 authors were contacted, with 44 responding. Of the 44 that responded 43 had used OLS; the only exception was subsequently excluded from the analysis. The remaining seven articles were checked once more, and consensus was reached that OLS had most likely been used. Therefore, they were also included in the study.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

It is generally recognized that multinational enterprises must take into account country differences in deciding the degree to which it makes sense to localize their human resource management (HRM) strategies and organization cultures to fit with the host country or rather standardize HRM strategies and organization cultures across countries. However, an important vein of academic work assumes that country differences, especially in national culture, are so important that management is “culturally dependent” (Hofstede, 1983) and that “national culture constrains variation in organization cultures” (Johns, 2006). I critically evaluate the logical and empirical evidence (including methodological issues regarding effect size) used to support such constraint arguments and conclude that the evidence is much weaker than widely believed. One implication then is that organizations may be less constrained by national culture differences in managing workforces in different countries than is often claimed. A second implication is that researchers may wish to re-think how they study such issues. I provide suggestions for future research.

Constructing and evaluating behavioral science models is a complex process. Decisions must be made about which variables to include, which variables are related to each other, the functional forms of the relationships, and so on. The last 10 years have seen a substantial extension of the range of statistical tools available for use in the construction process. The progress in tool development has been accompanied by the publication of handbooks that introduce the methods in general terms (Arminger et al., 1995; Tinsley & Brown, 2000a). Each chapter in these handbooks cites a wide range of books and articles on specific analysis topics.

In his article “Geld” of 1909 Menger introduces a principal distinction between “outer exchange value of money” (purchasing power as measured by index numbers) and “inner exchange value of money,” which is affected solely “by influences originating on the side of money,” not on the side of the other goods. Menger chooses constancy of the inner value as policy goal to be achieved by appropriately regulating the quantity of money. In a growing economy, the general price level would have a declining tendency if the money supply were kept constant – a consequence which Menger does not make explicit, and even appears not to have been aware of. There is a fundamental inconsistency in his writings, since in his essays on the currency reform of the Austro-Hungarian monarchy of 1892 Menger warned against undesired consequences of deflation and inflation. Menger’s extensive discussion on how effects on purchasing power on the side of goods could be separated from those attributable to the side of money is referred in the light of then available monetary and price statistics. The inconsistency remains enigmatic. The last part of the present contribution gives a brief overview on how authors of later generations of the Austrian School (Wieser, Mises, Schumpeter, and Hayek), who coined the term “neutrality of money” for Menger’s constancy postulate followed or deviated from Menger’s concepts of the value of money.

Purpose: The purpose of the paper is twofold: first, to examine whether the progress of strategic management research has been damaged by an excessive focus on statistical significance to the exclusion of substantive significance and second, to provide recommendations for improving research practice toward establishing the substantive significance of empirical findings.

Methodology/Approach: We conduct the same survey described in McCloskey and Ziliak (1996) on a sample of all 41 papers published in Strategic Management Journal during 2007 that use regression methodology. We use the criteria for good science represented by these survey questions as the foundation for our discussion. We present our arguments for the relevance of each of these criteria in strategy research with examples of best practice and provide a detailed analysis of areas of research practice that can be improved with associated recommendations.

Findings: Our survey suggests that there is indeed cause for concern, since 90% of our surveyed papers make no distinction between statistical and economic/substantive significance of their results. At the same time, many of the surveyed papers make some attempt to interpret their results in a substantively meaningful fashion.

Originality/Value of Paper: Our paper addresses a critical set of issues that influence progress in strategic management research. We provide a roadmap for how we can address these issues for progress in our field.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.