Beyond close vs. distant ties: Understanding post-service sharing of information with close,exchange, and hybrid ties

Customers' post-service sharing of information (PSSI) occurs with a range of social ties typically conceptualized in terms of closeness/tie strength. We extend this research by orthogonally crossing the dimension of closeness with exchange to define close, exchange, and hybrid ties. Study 1, a survey of actual PSSI behavior, supports our conceptualization regarding the dimensions of closeness and exchange defining audiences for PSSI. Study 2, a survey of PSSI intentions, further supports the significance of this extended conceptualization by showing that a model with close, exchange, and hybrid ties has a significantly better fit than a model with only close ties. We provide further evidence of the significance of these three ties by showing that service outcome and process have distinct effects on PSSI to each social tie. Satisfaction has a non-linear effect on PSSI to close ties, and positive and negative linear effects on exchange and hybrid ties respectively. Further, satisfaction is the sole predictor of PSSI to close ties, whereas satisfaction, provider status and customer power interactively drive PSSI to exchange and hybrid ties. Thus, considering close, exchange, and hybrid ties enables a more comprehensive understanding of PSSI.     

Organizational career management practices and objective career success: A systematic review and framework

The theorization of the relationship between organizational investments in career development and individual success remains underdeveloped, and empirical tests of this relationship, which have been dispersed among several disciplinary areas, have produced inconsistent results. Addressing these issues, the purpose of this article is to propose a theoretical framework that illustrates why and how organizational career management practices translate into career success and under what circumstances the relationship is effective. Using a systematic review of empirical studies on career management practices and objective success, we identify three theoretical mechanisms - developmental, informational, and relational - and two groups of contingency factors that explain this relationship. Our framework advances the extant literature on organizational career management and provides suggestions to companies for designing effective career management systems.     

Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific

In this paper, we focus on the question to what extent machine learning (ML) tools can be used to support systematic literature reviews. We apply a ML approach for topic detection to analyze emerging topics in the literature—our context is accounting and finance research in the Asia–Pacific region. To evaluate the robustness of the approach, we compare findings from the automated ML approach with the results from a manual analysis of the literature. The automated approach uses a keyword algorithm detection mechanism whereby the manual analysis uses common techniques for qualitative data analysis, that is, triangulation between researchers (expert judgement). From our paper, we conclude that both methods have strengths and weaknesses. The automated analysis works well for large corpora of text and provides a very standardized and non-biased way of analyzing the literature. However, the human researcher is potentially better equipped to evaluate current issues and future trends in the literature. Overall, the best results might be achieved when a variety of tools are used together.     

Product quality: Impact of interdepartmental interactions

The authors examine the role of organizational factors affecting interdepartmental interactions and their subsequent effects on product quality. Results from a national study suggest that product quality is affected by interdepartmental conflict and connectedness. Importantly, the linkage between interdepartmental conflict and product quality appears to be robust across varying levels of market turbulence and technological turbulence. In contrast, interdepartmental connectedness appears to be more important for product quality under conditions of high market and technological turbulence. The results also indicate that interdepartmental interactions are influenced by leadership characteristics (risk aversion of top managers), reward system orientation, and organization structure (centralization, departmentalization, and hierarchical levels). Managerial implications and directions for future work are proposed. His research interests focus on marketing strategy, marketing management, and new product management. His work has appeared in theJournal of Marketing, Journal of Business Research, and other journals. His research focuses on implementing and controlling marketing, market/environmental orientation, and customer responses to advertising. His work has appeared in theJournal of Marketing, Journal of Marketing Research, Review of Marketing, and other journals. His research interests include market orientation, marketing strategy, sales management, and industrial marketing. His work has appeared in a number of journals including theJournal of Marketing, Journal of Marketing Research, andStrategic Management Journal.     

The quality and effectiveness of marketing strategy: Effects of functional and dysfunctional conflict in intraorganizational relationships

By examining only dysfunctional conflict and ignoring functional conflict, empirical research in marketing has presented only part of the story. This research offers the first systematic look at the antecedents and consequences of both functionaland dysfunctional conflict in intraorganiational relationships. The authors develop and empirically test a causal model for key organizational antecedents of new product strategy quality and market performance. They find that dysfunctional conflict in the decision-making process has deleterious consequences for quality of strategy and market performance, whereas functional conflict improves both quality of strategy and performance. Specifically, organizational design characteristics such as formalization, interdepartmental interconnectedness, low communication barriers, and team spirit improve new product performance by enhancing functional conflict, whereas centralization and high communication barriers lower new product performance by increasing dysfunctional conflict. A post hoc test for common method bias or variance suggests that bias or variance alone cannot explain these findings. His general research interests focus on strategic issues relating to internal relationships, market learning, and organizational context of marketing strategy. His research has been published in theJournal of Marketing, Journal of Business Research, Journal of Advertising Research, Journal of Advertising, andJournal of Services Marketing, among others. His general research interests focus on strategic issues relating to relationship marketing, firm performance, sustainable competitive advantage, timing of market entry, and information technology. His past research has been published in theJournal of Marketing, Journal of Business Research, Journal of Services Marketing, andMarketing Education Review, among others. His research interests are in the areas of marketing research methods, structural equations modeling, cellular automata theories and methods, and Taoist methodologies for marketing strategy. His research has been published in theJournal of Marketing, Journal of Marketing Research, andJournal of the Academy of Marketing Science, among others.     

The Effect of Aggregation Bias: An NTB‐modelling Analysis of Turkey's Agro‐food Trade with the EU

We explore how different data aggregation levels affect the gravity estimates of non‐tariff barriers (NTBs) in the agro‐food sector, and we examine their related impacts on policy simulations of an expansion to the European Union (EU) that would include Turkey. We calculate two sets of ad valorem equivalents (AVEs) of NTBs using the gravity approach to disaggregated and aggregated Central Product Classification data for 15 Global Trade Analysis Project (GTAP) agro‐food sectors. We find that the AVEs of NTBs vary substantially across products and that using aggregated data primarily results in greater effects of NTBs. In a second step, we incorporate the AVEs of NTBs into the GTAP model to evaluate Turkey's EU membership and conclude that aggregation bias has considerable effects on both the estimation of NTBs and the general equilibrium simulation results. Utilising different data aggregation levels leads to a great variability of trade costs of NTBs and, hence, to misleading trade and welfare effects.