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Teaching effectiveness is essential to student learning, engagement and success. This study aims to identify the perceived teaching effectiveness attributes from the student’s perspective through a pilot study.

A comprehensive literature review identified 6 demographic and 25 teaching effectiveness characteristics. The Kano model was used to gather and analyze the student’s voices. The research validated the survey instrument using Cronbach’s alpha to ensure internal consistency and Chi-square goodness of fit to test the data distribution. Differences in response patterns were analyzed using Fisher’s exact test. Furthermore, the magnitude of the effect between the teaching effectiveness attributes was determined using Cramer’s V test.

This study determined that students perceived 19 attributes as one-dimensional, 3 as indifferent, 2 as attractive and 1 as one-dimensional and attractive. The analysis found differences in response patterns concerning readings and materials, grading rubrics to set assignment expectations and group/teamwork on projects.

As a pilot study, the sample size was small. Additional research should validate the survey using a larger sample. While the study results are specific to the college surveyed, other educators can use the methodology to identify the attributes important to their students.

Categorizing attributes based on the student’s voice enables instructors to focus on attributes that will improve the learning experience.

This research provides a comprehensive methodology for identifying critical teaching effectiveness attributes from the student’s perspective.

The purpose of this paper is to extend the repertoire of narrative resources relevant in the creation and maintenance of entrepreneurial identity, and to explore the implications for understanding entrepreneurial behaviour.

The empirical research is based on a two and a half year ethnographic study of a small UK industrial firm.

The study describes how clichés used by aspirant entrepreneurs are significant elements in creating entrepreneurial self‐identity. In contrast to entrepreneurial metaphors, the study of which has highlighted and revealed the extraordinary components of an entrepreneurial narrative identity, examination of the clichés provide us with a means by which to understand the everyday and ordinary elements of identity construction in entrepreneurs.

Further qualitative research in other entrepreneurial settings will be required, exploring the generality of cliché use amongst entrepreneurs.

Applying the implications of our findings for pedagogic and business support uses is not explored and will need further development; we do however suggest that narrative approaches that make sense of entrepreneurship as an achievable aim may have some practical use.

The application of cliché as a distinctive linguistic feature of entrepreneurial self‐identity construction is highly original and reflects analogous work on entrepreneurial metaphors. Because of its ethnographic data, the paper develops empirically and conceptually rich insights into entrepreneurship.

A slew of conventional change models and theories appear in the extant change literature. Despite being theoretically sound, these a priori structured approaches to organizational change management have questionable application given the rapidly changing business environments. Novel approaches, offering greater flexibility to fast changing external conditions, may offer superior models to organizational change and organizational transformation (OT) in particular. In this paper, the application of a complex adaptive system (CAS) framework, from complexity theory (CT), for managing OT is assessed theoretically.

A conceptual paper.

A review of the extant change literature suggests that current approaches and models for organizational change are limited in their ability to reflect OT responses to today's highly dynamic external environments. New models are required to inform and guide organizations. A new model, i.e. CAS framework, is deemed suitable to guide the OT implementation.

This paper critically analyses different approaches to change management, consolidates CAS framework, reviews its applications in the field of management and presents a case for CAS's application for the management of OT.

The purpose of this study is to develop BSC model of social enterprise. Performance analysis tool of BSC have been brought over from the business world, designed and created from the perspectives of profit‐based businesses. The BSC is a strategic performance measurement and management tool designed for the private sector acting as a communication/information and learning system, to measure “where we are now” and “where to aim for next”. It prescribes a plan for translating “vision” and “strategy” into concrete action across four perspectives at different stages, depending on the business. These perspectives are “financial”, “customer”, “internal processes” and “learning and growth”, each of which is connected by cause‐and‐effect relationships that reflect the firm’s strategy. Social aims of social enterprise are to accomplish desired outcomes which are to employ vulnerable people and to provide social services. The measurement factors of financial perspective are stable funding, efficiency of budgeting, stakeholders’ financial supports, and trade profit. The measurement factors of customer perspective are government, social service users, employees, local communities, supplier, social activity company, and partnership with external organizations. The measurement factors of internal process perspective are organizational culture, organizational structure/management, internal/external communication, quality of products and services, information sharing. The measurement factors of learning and growth perspective are training and development, management participation, knowledge sharing, leadership of CEO and manager, and learning culture.

The purpose of this paper is to propose a predictive model that could replace lawyers’ annual performance rankings and inform talent management (TM) in law firms.

Eight years of performance rankings of a sample of 140 lawyers from one law firm are used. Artificial neural networks (ANNs) are used to model and simulate performance rankings over time. Multivariate regression analysis is used to compare with the non-linear networks.

With a lag of one year, performance ranking changes are predicted by the networks with an accuracy of 71 percent, over performing regression analysis by 15 percent. With a lag of two years, accuracy is reduced by 4 percent.

This study contributes to the literature of TM in law firms and to predictive research. Generalizability would require replication with broader samples.

Neural networks enable extended intervals for performance rankings. Reducing the time and effort spent benefits partners and lawyers alike, who can instead devote time to in-depth feedback. Strategic planning, early identification of the most talented and avenues for tailored careers become open.

This study pioneers the use of ANNs in law firm TM. The method surpasses traditional static study of performance through its use of non-linear simulation and prediction modeling.

The hypothesized relationship between the attitude of job involvement and performance has received limited support. In 2002, Diefendorff et al. proposed that previous attempts to confirm this relationship were flawed, and subsequently found support for job involvement's criterion‐related validity. The present study seeks to provide another test of job involvement's association with performance.

Data were gathered using a field sample combined within a longitudinal design. Hypotheses were tested using correlation and hierarchical regression.

Employees’ self‐reported job involvement significantly predicted certain supervisor performance ratings above and beyond work centrality.

The psychological environment may have been disrupted by the public announcement that the focal organization had been acquired by an international firm shortly before data collection began.

Encouraging greater job involvement may positively influence work‐related behaviors, especially individually directed citizenship behaviors.

The present study tested the long‐term relationship of employee attitudes to workplace behaviors with an applied sample, while providing a theoretical context to describe the effects.

Purpose – This chapter examines the ways in which community has been discussed and pursued within American disability politics. It shows the various, often contradictory, understandings of community in play and examines the strengths and weaknesses of various strategies used to create community.

Methodology/approach – Using comparative historical techniques of analysis, this chapter compares different conceptualizations of community as they are used by activists and in policies.

Findings – While “community” is often an ideal embedded in activists' aspirations, historically it has meant very different things. The assumptions embedded in the idea of community affect the strategies and policies pursued by activists.

Practical and social implications – Each strategy to pursue community has advantages and disadvantages. Community as place leads to clear policy objectives, but often fails to achieve meaningful relational transformations. Community as social capital focuses on building social relationships, but leaves unaddressed membership in the national community and issues of citizenship. Ideals of community based on insider/outsider distinctions can be effective at unifying a group, but encourages the exclusion of others. Community as social citizenship demands the state uphold a commitment to support all citizens, but is often politically unpalatable. These ideas of community are often used together, sometimes to build upon one another, and other times in ways that are contradictory.

Originality/value of the chapter – Community is a lauded yet elusive goal. This chapter contributes to our understanding of disability politics and the tensions in creating “community.”

This review integrates and builds linkages among existing theoretical and empirical literature from across disciplines to further broaden our understanding of the relationship between inequality, imprisonment, and health for black men. The review examines the health impact of prisons through an ecological theoretical perspective to understand how factors at multiple levels of the social ecology interact with prisons to potentially contribute to deleterious health effects and the exacerbation of race/ethnic health disparities.

This review finds that there are documented health disparities between inmates and non-inmates, but the casual mechanisms explaining this relationship are not well-understood. Prisons may interact with other societal systems – such as the family (microsystem), education, and healthcare systems (meso/exosystems), and systems of racial oppression (macrosystem) – to influence individual and population health.

The review also finds that research needs to move the discussion of the race effects in health and crime/justice disparities beyond the mere documentation of such differences toward a better understanding of their causes and effects at the level of individuals, communities, and other social ecologies.

Cities are host to many of the world’s knowledge intensive research and innovation clusters. As such, they are likely to be attractive locations for emerging market multinational enterprises (MNEs) seeking to engage in knowledge seeking “springboard” type firm-level catch-up strategies. The purpose of this study is to therefore explore whether city-based research-intensive clusters containing deep pools of location bounded (i.e. “sticky”) knowledge are a stronger driver for greenfield research and development (R&D)-related FDI projects for Chinese MNEs than they are for developed market MNEs.

The authors use logistic modelling on 97,163 worldwide greenfield FDI projects to explore the relative likelihoods of Chinese MNEs engaging in R&D-related greenfield (i.e. “strategic asset seeking”) FDI projects as well as how city type (global or research-intensive cluster city) moderates this relationship for Chinese MNEs.

The authors find that Chinese MNEs are more likely to engage in overseas R&D FDI projects (compared with other types of project) than DMNEs and that research-intensive city clusters hold a stronger attraction for Chinese MNEs than developed market MNEs.

The authors discuss how the research contributes to the debate on emerging market MNE catch-up theory, as well as that on sub-national city location choice, by highlighting the growing importance of sub-national geography to understanding strategic asset seeking related greenfield FDI.

Sub-national city location choice is an important driver of strategic asset seeking FDI for Chinese MNEs, one that both national and local city level policymakers should pay attention to.

Chinese FDI via aggressive mergers and acquisitions to acquire key technologies has been restricted in recent years. Policymakers must consider whether they may also wish to restrict Chinese greenfield FDI in R&D-related projects, which now exhibit a pronounced upward trend.

The authors highlight the growing importance of sub-national geography to understanding strategic asset seeking related greenfield FDI in Chinese MNEs (and how it plays, more generally, a central role in their strategies).

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.