Governance Matters and Entrepreneurial Activities

This study uses Global Entrepreneurship Monitor (GEM) and World Bank Group Entrepreneurship Survey data from 40 countries from 2002 to 2008 to examine the linkage between governance matters and entrepreneurial activities. Based on the conceptual model of GEM and by using fixed‐effects panel analysis, the results show that political stability and absence of violence, rule of law, and control of corruption are highly significant determinants of entrepreneurial activities. © 2012 Wiley Periodicals, Inc.     

Factors affecting the breadth and depth of e-procurement use in small and medium enterprises

Organizations differ in the range of e-procurement functionalities they use (breadth of use) and in how much they rely on e-procurement (depth of use). Nonetheless, factors affecting the breadth and the depth of e-procurement use have never been studied in a single context. Therefore, it is unclear whether the differences between the effects discovered in past studies are due to the difference between the breadth and the depth of use, or to the difference between contexts. We test the effects of factors potentially affecting the breadth and the depth of e-procurement use in a single context, using data from 151 small and medium enterprises (SMEs) in the manufacturing sector in New Zealand. The results indicate that the breadth and the depth of use of e-procurement in business organizations are influenced by different factors. Perceived relative advantage of using e-procurement, plus external pressure from suppliers and competitors to use e-procurement, result in the use of a broader range of e-procurement functionalities – in a greater breadth of e-procurement use. However, the extent of an organization’s reliance on e-procurement in organizational purchasing (i.e., depth of e-procurement use) is driven by compatibility of e-procurement with organizational values, practices, technology infrastructure, and strategy. Arguing that in order to benefit fully from e-procurement, an organization needs to integrate it deeply into its operations, we conclude that managers evaluating new e-procurement technologies should consider their compatibility with organizational norms and practices.     

Machine-Part Cell Formation Problem Using a Group Based League Championship Algorithm

This article proposes a new algorithm for grouping problems that is a grouping version of league championship algorithm (GLCA). We compare the performance of GLCA with several well-known algorithms published in the present literature and select a set of 20 most widely used benchmarks of cell formation sample problems posing as a grouping problem. We used a truncated geometric algorithm to find the number of initial cells. Our computations reveal that GLCA can reach the best-known solution for 17 of the 20 benchmark problems, and improve the solution of three others with a 1.4% average gap.     

Islamic business scorecard and the screening of Islamic businesses in a cross‐country setting

Screening of shari'ah compliant firms is incomplete without the inclusion of ethical and social responsibilities. The existing “activity screen” does not directly capture the ethical and social footprints of firms. The purpose of this study is to create and test an Islamic business scorecard that combines activity, ethical, and social responsibilities that Islamic businesses must comply with. This new Islamic business scorecard replaces the existing activity screens and is added to the financial screens to create an integrated business screening mechanism to identify shari'ah compliant firms. This study utilizes data from a sample of 410 shari'ah compliant companies listed with stock exchanges in Malaysia, Pakistan, and Bangladesh. Out of the five newly developed constructs of the Islamic business scorecard, the results indicate Islamic firms are less committed to social responsibilities and tend to push forward economic responsibilities that focus on profitability and growth. Of the three countries, this study reports Malaysian firms have the highest compliance scores, while Bangladesh displays characteristics of the “next‐big shari'ah destination”. Financial screens are more important than the Islamic business scorecard for firms in the construction, industrial, technology, and trading/services sectors. Because of its connection with the economic, ethical, and social dimensions, the scorecard helps to identify the true nature of shari'ah compliance as a useful decision tool for investors and policymakers.     

Merger and acquisition motives and outcome assessment

Research on merger and acquisition (M&A) outcome often focuses on tangible financial results and the reaction of stock markets. This research attempts to provide a more accurate assessment of M&A performance by linking tangible as well as intangible M&A motives to outcome assessment. The theoretical framework is based on evaluation theory. We analyze four case studies of international M&As conducted by European companies. The findings indicate that M&A outcome can be more accurately measured by aligning it with the motives defined by the acquiring firms. They suggest that M&A outcome assessment should be considered as a process covering both premerger and postmerger stages.     

Prediction of Ideas Number During a Brainstorming Session

In this paper, we present an approach allowing the prediction of ideas number during a brainstorming session. This prediction is based on two dynamic models of brainstorming, the non-cognitive and the cognitive models proposed by Brown and Paulus (Small Group Res 27(1):91–114, 1996). These models describe for each participant, the evolution of ideas number over time, and are formalized by differential equations. Through solution functions of these models, we propose to calculate the number of ideas of each participant on any time intervals and thus in the future (called prediction). To be able to compute solution functions, it is necessary to determine the parameters of these models. In our approach, we use optimization model for model parameters calculation in which solution functions are approximated by numerical methods. We developed two generic optimization models, one based on Euler’s and the other on the fourth order Runge–Kutta’s numerical methods for the solving of differential equations, and we apply them to the non-cognitive and respectively to the cognitive models. Through some feasibility tests, we show the adequacy of the proposed approach to our prediction context.     

Replicating,validating, and reducing the length of the consumer perceived value scale

This research reports an assessment of Sweeney and Soutar's (2001) consumer perceived value (PERVAL) scale. The PERVAL scale contains four dimensions: quality, emotional, price, and social values. The present study develops and evaluates two short forms of the original 19-item PERVAL scale based on Sweeney and Soutar's (2001) original data and three other studies in two different countries. In comparison with the full scale, the short 12-item and 8-item forms have equally good dimensional properties and equivalent predictive validity. The discussion includes implications, both for research and for retail managers.