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Aims at differentiating organizational climate from other related concepts of job satisfaction, corporate culture and leadership style. Concludes that while these latter concepts were related to the concept of organizational climate, they were not synonymous. Addresses several theoretical and methodological differences between organizational climate and these related terms.

This study explores the differences in climate perceptions according to employees' demographic (age, gender, marital status, and education) and organizational (tenure, position, and pay) background patterns. In order to achieve this goal, self‐administered questionnaires were distributed to 400 subjects in Jordanian manufacturing organizations. Usable answers were obtained from 297 subjects. The results of the study showed that the background of employees (with the exception of gender) were found to account for significant differences in the perception of several dimensions of climate.

This study examined the differences among 76 American project managers and 36 of their Arab counterparts with regard to their perceptions of factors contributing to effective project management. After reviewing the relevant literature, a conceptual framework was derived. Seven research hypotheses were formulated and tested. The results of this study tended to underscore the significance of cultural differences among these two groups of project managers.

This study aims to explore the level of entrepreneurial intentions (EIs) among students in three private universities in Bahrain. The examined factors that are expected to shape EI are personal attraction toward becoming an entrepreneur, perceived behavioral control and subjective norms and social valuation of entrepreneurship.

A close-ended questionnaire was used to collect data of the study. The total number of questionnaires distributed was 1,530 questionnaires, while the total number of the valid questionnaires retrieved was 550, which makes the total response rate to be 36 per cent.

Regression analysis results indicated that students’ personal attraction toward entrepreneurship and perceived behavioral control had a significant strong positive relationship with their EI. In addition, there was a significant moderate positive relationship between students’ perceived subjective norms and social valuation of entrepreneurship with their EI.

The findings showed that entrepreneurial education is needed to improve students’ skills and knowledge and enhance their EI and perceived behavioral control. In addition, it is important to expose students to entrepreneurial role models and their businesses and to promote entrepreneurial careers as desirable and feasible options that may bring more advantages than working in the government or private sector.

Introduction Ask most people what the term “culture” means to them and the reply frequently displays a notion of shared characteristics (such as language, religion, heritage) and values that distinguish one group of people from another. In organizational settings, culture can be defined as the set of norms, values, guiding beliefs, ways of thinking, and practices shared by members of an organization (Schein, 1990).

This paper seeks to measure and evaluate the productive efficiency of health‐care organizations (hospitals) using a multicriteria Data Envelopment Analysis (DEA) methodology. DEA is a special linear programming model for deriving the comparative efficiency of multiple‐input multiple‐output Decision‐Making Units (DMUs). DEA provides management with information regarding the relatively best practice hospitals in the observation set and locates the relatively inefficient hospitals by comparison with the best practice ones. In addition, it indicates the magnitude of these inefficiencies. The paper selects a set of inputs and outputs for 15 hospitals for a three‐year period. The hospital input measures included are: number of bed days, number of physicians, and number of health personnel. The output measures included are: number of patient days, number of minor operations, and number of major operations. The DEA models are solved using an IBM PC optimization modeling system called LINDO (linear, interactive, discrete optimizer).

This paper seeks to model and evaluate the comparative operating efficiency of banks using a non‐parametric methodology known as the data envelopment analysis (DEA). The paper adopts a modified version of DEA in which no inputs are specified. The only variables considered are the financial ratios. The results obtained suggest that the majority of banks investigated are fairly inefficient over the period 1991‐94. In addition to calculating efficiency scores for all banks in the sample, the study results revealed the composite reference set and their shadow prices, major determinants of banks’ relative performance, and the target financial ratios.

The main purpose of the study was to assess students' perceptions of cognitive, affective, and interactive benefits in a business process re‐engineering (BPR) course using five adopted teaching tools: role‐playing, case studies, group assignments, electronic collaboration, and invited lecture.

A list of 18 closed‐ended questions and one open‐ended question was distributed to a sample of 46 undergraduate students at the University of Bahrain's College of Business Administration who participated in the study.

Descriptive statistics (mean scores) revealed that role‐playing was the most useful technique in the improvement of students' cognitive, affective, and interactive skills, followed by group assignments, case method, invited lecture, and electronic collaboration respectively (except for the improvement of cognitive skills where the invited lecture prevailed over the case method). ANOVA results revealed that there were no significant differences in perceptions of cognitive benefits between most teaching tools. The only significant variations detected were between the web‐based tool on the one side and the rest of tools on the other. Significant differences were also found in perceptions of affective and interactive benefits for almost all teaching tools.

The best practices resulting from the adopted teaching process are expected to form a blueprint for benchmarking design of a BPR course or a course in other business subject areas.

The purpose of this paper is to reveal the underlying principles of knowledge processing in a new era of mass collaboration and provide an integrated guideline for organizational knowledge management (KM) based on identifying the gaps between the existing KM theories and emerging knowledge initiatives such as Web 2.0, Pro-Am, Crowdsourcing, as well as Open Innovation.

This research mainly employs three types of research methodologies: Literature study was conducted to connect this study with conventional theories in KM and propose the main principles of Mass Collaborative Knowledge Management (MCKM). Object-oriented modeling was used for designing its interaction model. The case study method was employed to discuss the two typical practices carried out by Goldcorp Inc. as well as the Defence Advanced Research Projects Agency.

This paper proposes the novel KM paradigm called MCKM and also provides its main principles and the interaction model. First, it identifies the gaps between emerging practices and existing KM theories. Second, it embraces the long tails into the scope of organizational KM and extends the scope of prevailing KM studies. Third, it falls back on Pro-Ams to save the costs of and to reduce the risk to organizational KM as well. Fourth, it highlights the advantages of opening organizational internal knowledge and transforms the core beliefs in conventional KM. Finally, it classifies organizational knowledge into two types, domain knowledge and non-domain knowledge, and provides some managing policies, respectively.

Introducing MCKM into organizational KM will not only enhance the organizational knowledge creation and sharing, but also help an organization build its open knowledge ecosystem.

This is a paper to introduce a new direction of KM studies, which guides an organization to build an open knowledge ecosystem by implementing mass collaborations and taking advantages of the complementary advantages of men and machines in knowledge processing.