Search results

Careless responders are respondents who lack the motivation to answer survey questions accurately. Empirical findings can be significantly distorted when some respondents devote insufficient effort to the survey task, and researchers therefore attempt to identify such respondents. Many measures of careless responding have been suggested in the literature, but researchers frequently struggle with the selection and appropriate use of the available methods. This chapter offers a classification of existing measures of careless responding along two dimensions and presents a conceptual discussion of their relative strengths and weaknesses. An empirical study demonstrates how the various measures can be used to identify careless responders and how these measures are related to each other.

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.

This chapter addresses the challenges associated with temporary organising under conditions of institutional complexity. The authors draw on findings from an in-depth case study of a megaproject initiated to reshape healthcare in Sweden. At the centre of this transformation was the construction of a new, ‘world-class’ hospital to replace the former (historical and renowned) university hospital. The authors posit that organising such projects is largely a matter of creating, responding to, and re-creating temporal institutional complexity. Thus, their study identifies four distinct response strategies – innovating, partial decoupling, avoiding, and surfing – on which project actors relied when dealing with the multiplicity of temporal institutional requirements. The authors propose a model for explaining how these strategies affected the temporal institutional complexity faced by the project. Their chapter adds to the literature on temporary organisations by highlighting the nature and dynamics of temporal institutional complexity and by revealing how inter-institutional temporary organisations cope with such complexity.

We examine the informational roles of trades and time between trades in the domestic and overseas US Treasury markets. A vector autoregressive model is employed to assess the information content of trades and time duration between trades. We find significant impacts of trades and time duration between trades on price changes. Larger trade size induces greater price revision and return volatility, and higher trading intensity is associated with a greater price impact of trades, a faster price adjustment to new information and higher volatility. Higher informed trading and lower liquidity contribute to larger bid–ask spreads off the regular daytime trading period.

Extreme events undermine progress toward social sustainability and require an immediate response from the private sector. The authors propose a two-dimensional framework (response time and the scope of activities to the various stakeholders) to benchmark firms’ effectiveness in mitigating the threats to social sustainability post-disaster. This framework allows establishing a taxonomy of corporate emergency responses. Within such a framework, the authors group 218 corporate actions from 111 companies operating in Spain during the COVID-19 pandemic into four corporate relief strategies: symbolic, selective, reactive, and supportive. The authors show how companies can use this framework as a guide to foster social sustainability in times of shock in an efficient way. Also, stakeholders can use this framework as a reference to distinguish corporate initiatives aiming to propel community resilience from corporate “covidwashing.”