Transnational communities and business systems

The paper examines the concept of ‘transnational communities’ as a way of understanding globalization practices in business and management. It argues that ‘transnational communities’ are emergent properties of the internationalizing of economic activity. Three specific aspects of this process are considered in detail: the development of multinational companies; the development of international regulatory bodies; and the development of cognitive and normative frameworks through the practices of business education, management consultancies and other global professional service firms. It is argued that in each case, transnational spaces are emerging; within these spaces, transnational communities are developing. The article calls for more research into the diverse nature of these spaces and communities as a way of avoiding the sterile polarities of what Held et al. (1999) refer to as the ‘hyperglobalists’ and the ‘sceptics’.     

The Role of Existing Knowledge in New Product Innovativeness and Performance

The purpose of this study is to provide a more thorough assessment of the link between existing knowledge and organizational performance than currently exists in the literature. We identify factors and processes influential in the management of existing knowledge within the areas of learning culture, knowledge building, and organizational performance. Through structural equation modeling, a more thorough examination is given of the role existing knowledge plays in new product performance and innovativeness. In completing this task, we provide insight into the subprocesses of knowledge building by evaluating the influence of shared interpretation and two aspects of information acquisition—efficiency and degree of innovativeness of newly acquired information—on new product development (NPD) outcomes. Included in the examination of these processes are organizational culture and structure characteristics believed to influence knowledge management success.     

On pairs of Youden designs

It is well known that generalized Youden designs, or GYD's, enjoy a variety of optimality properties. Not being maximum trace designs, b copies of a non-regular GYD will not be optimum for b sufficiently large, opening the question of whether such a set will be so for any b. This paper explores the E-behavior of b = 2 non-regular GYDs. A general E-efficiency bound is derived and the E-optimality of a particular series is proven. That pairs of non-regular GYDs are not always E-optimal is shown by a counterexample.     

Setting Tolerable Misstatements When Auditing Aggregated Accounts*

Generally accepted auditing standards require auditors to plan audits of clients' account balances. If accounts are to be sampled, then part of this planning must include setting the tolerable misstatement for each account or class of transactions to be sampled. Although classical sampling approaches provide certain advantages, they have not been widely used because they are viewed as complex and difficult to implement. We present a remedy to these difficulties in an efficient, easily implemented optimal solution method for the problem of setting tolerable misstatements given constraints on tolerable misstatements for individual account balances as well as the overall audit. Further, our method suggests when the materialities of certain accounts or the materiality of the overall audit are irrelevant to the problem. Several example auditing problems demonstrate both our solution approach and the settings in which our approach provides a more effective or more efficient sampling plan than that provided by monetary unit sampling.     

Complexity Factors and Intuition-based Methods for Facility Network Design

Logistics managers frequently utilize decision support systems (DSS) to make facility network design decisions. Many DSS do not provide optimization capabilities, but instead rely on scenario evaluation as a means for developing solutions. We experimentally assessed the performances of decision makers, including experienced managers, who used four variants of a scenario evaluation-based DSS to solve realistically sized network design problems of varying complexities. Complexity factors included DSS attributes, problem size, network types, and demand dispersion patterns. Decision makers' performances were assessed relative to optimal solutions. Overall, the decision makers generated relatively high-quality solutions using the DSS variants. The type of design problem solved did not significantly impact problem-solving performance. However, performance degraded and variability in solution quality escalated as problem size was increased. The availability of incremental solution cost improvement cues in the DSS significantly improved solution quality and reduced performance variability. Iconic graphic enhancements to the DSS did not consistently affect performance. However, significant interactions existed among the effects of DSS graphics capabilities, DSS information cues, and problem attributes.     

Staff experience of a new approach to family safeguarding in Oxfordshire Children's Social Care Services

This paper presents the findings from a qualitative study that sought to understand the experiences of frontline staff working in Oxfordshire County Council (OCC) Children's Social Care Services and their views on a new family safeguarding model (Family Solutions Plus). Focus group interviews were conducted with 20 frontline staff and managers in different teams across OCC Children's Social Care Services using video conferencing software. Thematic analysis identified three overarching themes: Preparation for the implementation of Family Solutions Plus, staff views on the implemented model, and challenges to its implementation. Staff voiced strong support for the new model, which places a much greater emphasis than previous practice on supporting the whole family, developing parenting skills and keeping children safe with their families. The challenges associated with the transition to a new model were considerable in the short term, partly due to the COVID-19 pandemic, but there was optimism that the new model could be sustained and stabilized over time.     

The Influences of User Characteristics on Performance in a Logistics DSS Application

Decision Support Systems (DSS) are widely used in logistics decision applications, and a large number and variety of systems are commercially available. We investigate the contributions of user characteristics including experiences, data preferences, intuition, and effort to decision performance in a logistics DSS context. The study includes a laboratory experiment in which decision makers with varied experiences used a DSS to make facility network design decisions for problems of varying complexity. Two variants of the DSS are utilized in order to examine the interactions of a DSS decision aid with user characteristics. We find that intuition and effort are associated with decision-making performance. High analytic ability is not related to intuition, however. Education and previous experience are associated with performance. Yet these characteristics are also unrelated to intuition. Decision makers who highly value disaggregated data provided by the DSS tend to perform poorly. Also, the results suggest that the effects of users' experiences and preferences on performance are influenced by an analytical decision aid.