Verleye, Katrien; Gemmel, Paul; Rangarajan, Deva (Journal of Service Research, 2014)
Firms striving for long-term profitability need to build stronger customer-firm relationships by getting their customers more engaged with the firm. One path to this end is introducing practices to manage different forms of customer engagement behaviors (CEBs). To develop more effective and efficient CEB management practices, this research proposes and empirically tests a theoretical model on managerial and psychological processes to encourage CEBs that are embedded in a broader network of customers and stakeholders. Based on qualitative and quantitative studies in nursing homes, we demonstrate that organizational support and overall service quality toward significant others influence some forms of CEBs—more particularly feedback and positive word of mouth (WOM) behaviors—through customer affect toward the organization. It is interesting to note that customer affect toward the organization encourages WOM behaviors, while it discourages feedback behaviors. Conversely, managerial processes that increase customer role readiness—such as organizational socialization and support from other customers—were found to have a positive impact on all forms of CEBs. This research helps managers of nursing homes and other services with a broad network of customers and stakeholders to improve existing CEB management practices and develop new CEB management practices that are beneficial for the firm and its stakeholders.
Vanpoucke, Evelyne; Vereecke, Ann; Muylle, Steve (International Journal of Operations and Production Management, 2017)
Companies increasingly exchange information to work more closely with supply chain partners. Although information exchange is a critical element for up- and downstream partnerships, the purpose of this paper is to indicate that it is not a guarantee for improved performance and should be combined with other integration tactics to fully capture its benefits.
Van den Broeke, Maud; De Baets, Shari; Vereecke, Ann; Baecke, Philippe; Vanderheyden, Karlien (Omega: the international Journal of Management Science, 2019)
Accurate demand forecasting is the cornerstone of a firm’s operations. The statistical system forecasts are often judgmentally adjusted by forecasters who believe their knowledge can improve the final forecasts. While empirical research on judgmental forecast adjustments has been increasing, an important aspect is under-studied: the impact of these adjustments over different time horizons. Collecting data from 8 business cases, retrieving over 307,200 forecast adjustments, this work assesses how the characteristics (e.g., size and direction) and accuracy of consecutive adjustments change over different time horizons. We find that closer to the sales point, the number of adjustments increases and adjustments become larger and more positive; and that adjustments, both close and distant from the sales point, can deteriorate the final forecast accuracy. We discuss how these insights impact operational activities, such as production planning.
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