Principles and Practice of Structural Equation Modeling (2nd ed.)

Social Psychology of Organizations

We explore the effect of dimensionality on the nearest neighbor problem. We show that under a broad set of conditions (much broader than independent and identically distributed dimensions), as dimensionality increases, the distance to the nearest data point approaches the distance to the farthest data point. To provide a practical perspective, we present empirical results on both real and synthetic data sets that demonstrate that this effect can occur for as few as 10-15 dimensions. These results should not be interpreted to mean that high-dimensional indexing is never meaningful; we illustrate this point by identifying some high-dimensional workloads for which this effect does not occur. However, our results do emphasize that the methodology used almost universally in the database literature to evaluate high-dimensional indexing techniques is flawed, and should be modified. In particular, most such techniques proposed in the literature are not evaluated versus simple linear scan, and are evaluated over workloads for which nearest neighbor is not meaningful. Often, even the reported experiments, when analyzed carefully, show that linear scan would outperform the techniques being proposed on the workloads studied in high (10-15) dimensionality!.

When is nearest neighbor meaningful

An Organizational Theoretic Review of Green Supply Chain Management Literature

The partial least squares (PLS) approach to structural equation modeling (SEM) has been widely adopted in business research fields such as information systems, consumer behavior, and marketing. The use of PLS in the field of operations management is also growing. However, questions still exist among some operations management researchers regarding whether and how PLS should be used. To address these questions, our study provides a practical guideline for using PLS and uses examples from the operations management literature to demonstrate how the specific points in this guideline can be applied. In addition, our study reviews and summarizes the use of PLS in the recent operations management literature according to our guideline. The main contribution of this study is to present a practical guideline for evaluating and using PLS that is tailored to the operations management field.

Using Partial Least Squares in Operations Management Research: A Practical Guideline and Summary of Past Research

Supply chain collaboration: Impact on collaborative advantage and firm performance

Manufacturing flexibility: defining and analyzing relationships among competence, capability, and customer satisfaction

Purpose – To identify what constitutes web site quality or what makes a web site effective.Design/methodology/approach – This article examines and integrates four sets of factors that capture e‐commerce web site quality using an IS success model: system quality, information quality, service quality, and attractiveness. A questionnaire survey was conducted to verify the measures of web site quality. Based on TAM, a framework is also developed relating web site quality to customers' beliefs (perceived usefulness and ease of use), attitudes (preferences for the site), and intentions (to revisit the site).Findings – A set of instruments of web site quality has been developed and empirically validated by factor analysis.Research limitations/implications – The research is based on a sample of students browsing several book web sites and they may not sense the web site quality across different B2C commercial web sites such as music, computer, travel, clothes and flowers. Data in these domains should be collected...

B2C e‐commerce web site quality: an empirical examination

Facing intensified global competition, firms strive for greater supply chain collaboration by leveraging the resources and knowledge of key suppliers and valued customers to reduce uncertainty, lower transaction costs, build core competence, capitalise on opportunities for learning and knowledge creation, and improve competitive position. This study examines the nature and characteristics of supply chain collaboration. Through an extensive literature review, it conceptualises supply chain collaboration as seven interconnecting elements: information sharing, goal congruence, decision synchronisation, incentive alignment, resource sharing, collaborative communication, and joint knowledge creation. It develops valid and reliable instruments to measure supply chain collaboration through rigorous empirical and statistical analysis including structured interviews, Q-sort, and a large-scale study. Predictive validity is evaluated by demonstrating a strong and positive relationship between a firm's level of suppl...

Supply chain collaboration: conceptualisation and instrument development

While managers and researchers agree that the fuzzy front end of new product development (NPD) is critical for project success, the meaning of the term “front‐end fuzziness” remains vague. It is often used broadly to refer to both the exogenous causes and the internal consequences of fuzziness. This imprecise language makes it difficult for managers to separate cause and effect and thus identify specific prescriptive remedies for “fuzziness” problems. The vagueness of the concept and the lack of a framework for defining “front‐end fuzziness” also impede empirical research efforts. Building upon uncertainty theory, we define front‐end fuzziness in terms of environmental uncertainties. Front‐end fuzziness has consequences for a project’s team vision. It reduces the team’s sense of shared purpose and causes unclear project targets and priorities. Describes how foundation elements of a firm’s overall product development program can help project teams cope with front‐end fuzziness.

Qingyu Zhang

Papers

Supply chain collaboration: Impact on collaborative advantage and firm performance

Manufacturing flexibility: defining and analyzing relationships among competence, capability, and customer satisfaction

B2C e‐commerce web site quality: an empirical examination

Supply chain collaboration: conceptualisation and instrument development

The fuzzy front end and success of new product development: a causal model