Value co-creation characteristics and creativity-oriented customer citizenship behavior

For the competitive advantage of service organization, it is important to improve the creative performance of human resources in the organization. For example, when employees perform creatively, in other words, if they generate novel and useful ideas, it will contribute to organizational competiveness. Therefore, there has been an increased focus in identifying its antecedents and consequences. Unfortunately, little is known about the creative performance of customers. According to service-centered dominant logic, customer is the value co-creator, it emphasizes co-opting customer involvement in the value creation process as an additional human resource. In addition, customers can be a valuable resource for service improvement efforts for firms. For instance, companies might benefit greatly from customer feedback and complaints regarding their offerings and can enhance their productivity in terms of quality and quantity. In this paper, the type of novel, creative-oriented customer behaviors highlighted in the preceding paragraph are referred to as creativity-oriented customer citizenship behaviors (CCBs). In the customer value co-creation context, creative-oriented CCBs refer to extra-role efforts by customers with regards the development of ideas about products, practices, services, and procedures that are novel and potentially useful to a firm. According to the intrinsic motivation perspective, the context in which customers create values, influences their intrinsic motivation, which in turn affects creativity-oriented CCBs. The intrinsic motivation perspective suggests that high intrinsic motivation is affected by information from both task characteristics (i.e., autonomy) and social characteristics (e.g., supplier support). Specifically, complex and challenging task characteristics such as high levels of variety, identity, significance, autonomy, and feedback are expected to increase customer intrinsic motivation. Under these conditions, customers should increase the likelihood of creativity-oriented CCBs. Therefore, customers are expected to be most creative when they experience a high level of intrinsic motivation. In contrast, complex and challenging task and social characteristics can have the opposite effect to customers. For example, in a high level of variety task, increased autonomy can lead to increased workload because they must take on related extra responsibilities and accountability. Increased workload, in turn, is expected to lead to decreased likelihood of creativity-oriented CCBs. Therefore, this study attempts to explore the impact of task characteristics and social characteristics on creativity-oriented CCBs. Furthermore, a substantial body of research has examined the possibility that creativity is affected by personal characteristics. As such, in addition to the relevant task and social characteristics, the moderating influence of several trait variables is also considered. This article makes several contributions. First, this study investigates the trade-off effect of the customer value co-creation related task and social characteristics by examining the underlying opposing mechanism of motivation and work overload. Second, this research provides a deeper understanding of contingency factors that systematically strengthen the relationships under consideration. Third, this study may indicate that companies seek to promote the creativity of their industrial customers and should design the tasks and social characteristics of their industrial customers in a way that maximizes their creativity. But, companies should be aware of the negative impact of specific tasks and social characteristics that may minimize the creativity of industrial customers

Practices for strategic capacity management in Malaysian manufacturing firms

While the notion of manufacturing capabilities is a long-standing notion in research on operations management, its actual implementation and management has been hardly researched. Five case studies in Malaysia offered the opportunity to examine the practice of manufacturing managers with regard to strategic capability management. The data collection and analysis was structured by using the notion of Strategic Capacity Management. Whereas traditionally literature has demonstrated the beneficial impact of an appropriate manufacturing strategy on the business strategy and performance, the study highlights the difficulty of managers to set the strategy, let alone implementing it. This is partly caused by the immense pressure of customers in these dominantly Make-To-Order environments for SMEs. Current concepts for manufacturing capabilities have insufficiently accounted this phenomenon and an outline of a research agenda is presented

Visual analytics for supply network management: system design and evaluation

We propose a visual analytic system to augment and enhance decision-making processes of supply chain managers. Several design requirements drive the development of our integrated architecture and lead to three primary capabilities of our system prototype. First, a visual analytic system must integrate various relevant views and perspectives that highlight different structural aspects of a supply network. Second, the system must deliver required information on-demand and update the visual representation via user-initiated interactions. Third, the system must provide both descriptive and predictive analytic functions for managers to gain contingency intelligence. Based on these capabilities we implement an interactive web-based visual analytic system. Our system enables managers to interactively apply visual encodings based on different node and edge attributes to facilitate mental map matching between abstract attributes and visual elements. Grounded in cognitive fit theory, we demonstrate that an interactive visual system that dynamically adjusts visual representations to the decision environment can significantly enhance decision-making processes in a supply network setting. We conduct multi-stage evaluation sessions with prototypical users that collectively confirm the value of our system. Our results indicate a positive reaction to our system. We conclude with implications and future research opportunities.The authors would like to thank the participants of the 2015 Businessvis Workshop at IEEE VIS, Prof. Benoit Montreuil, and Dr. Driss Hakimi for their valuable feedback on an earlier version of the software; Prof. Manpreet Hora for assisting with and Georgia Tech graduate students for participating in the evaluation sessions; and the two anonymous reviewers for their detailed comments and suggestions. The study was in part supported by the Tennenbaum Institute at Georgia Tech Award # K9305. (K9305 - Tennenbaum Institute at Georgia Tech Award)Accepted manuscrip

Industrial R&D in Italy: What are new dynamics of exploitation and exploration?

This paper aims at exploring the dynamics of industrial R&D activities in large companies. Through the use of four case studies of the largest R&D centers of Italian firms operating in different industrial sectors (telecommunications, automotive, rubber and plastics, and semiconductors), we try and compare the different approaches that private R&D centers have chosen in the recent past, to face the challenges of growing complexity in their research areas and increasing constraints in budgets devoted to R&D activities. The difficulties Italian companies face in the management of their R&D investments have to do with the specificities of a fairly weak national innovation system as well as with challenges that are common to other national and industrial contexts.

MIMO decision feedback equalization from an H∞ perspective

We approach the multiple input multiple output (MIMO) decision feedback equalization (DFE) problem in digital communications from an H∞ estimation point of view. Using the standard (and simplifying) assumption that all previous decisions are correct, we obtain an explicit parameterization of all H∞ optimal DFEs. In particular, we show that, under the above assumption, minimum mean square error (MMSE) DFEs are H∞ optimal. The H∞ approach also suggests a method for dealing with errors in previous decisions

Construction of abatement cost curves: The case of F-gases

Most of scientific research on Greenhouse Gases (GHG) focuses on CO2 emissions. But non-CO2 gases (mainly F-gases in the form of HFCs, PFCs, and SF6) are more potent at trapping heat within the atmosphere. Currently, F-gases constitute a small proportion of GHG emissions but they are extremely high Global Warming Potential gases. At the same time, they are expected to increase massively due to the expansion of some emitting industries, while the atmospheric lifetimes of PFCs and SF6 are very long. This study analyzes the economic and technical assumptions in abatement cost calculation in the case of the F-gases. The important factors for differences among countries in average mitigation costs are discussed and the least cost curve of F-gases control for the EU-27 and for the year 2020 is derived. It seems that it is more cost-effective to start abating SF6 first, and then moving to PFCs and then applying control methods to HFCs.F-gases; control methods; emissions; GWP

Evolution of Technological Capabilities: A study of Indian products based Telecom start-up firms

New technology based start-ups play a very important role in developing the economy of a country. However, product based B2B start-ups in India are rare and existing ones have to undergo several challenges in commercializing. Present study explores the evolution of technological capabilities that enable commercialization among such early stage start-ups by adopting a multiple case based (four independent start-ups) inductive methodology with Indian telecom start-ups as the context. We have identified architectural design, algorithmic implementation and product adaptation as components of technological capability of such start-ups. We explore the link between knowledge acquisition, telecom specific knowledge and capability evolution in present work in a regulated and knowledge intensive context. Finally, we put forth a three stage framework mapping the evolution of technological capabilities among telecom start-ups, as well as identify regulatory bodies, standard making bodies and social network as facilitators in the capability evolution process.

Multi crteria decision making and its applications : a literature review

This paper presents current techniques used in Multi Criteria Decision Making (MCDM) and their applications. Two basic approaches for MCDM, namely Artificial Intelligence MCDM (AIMCDM) and Classical MCDM (CMCDM) are discussed and investigated. Recent articles from international journals related to MCDM are collected and analyzed to find which approach is more common than the other in MCDM. Also, which area these techniques are applied to. Those articles are appearing in journals for the year 2008 only. This paper provides evidence that currently, both AIMCDM and CMCDM are equally common in MCDM