Salesperson's innovation resistance and job satisfaction in intra-organizational diffusion of sales force automation technologies: The case of South Korea

One of the rapidly growing areas in industrial marketing is the application of sales force automation (SFA) technologies to help improve the efficiency of the sales force task. What is often overlooked is that there are some potential negative effects related to SFA technologies that arise when these innovations are forcefully adopted on the individual salesperson. This study empirically examines the psychological and social antecedents of salespeople's resistance toward SFA technologies in South Korea. Unlike previous studies that only looked at adoption, this studies adds to the literature on SFA technologies by looking at resistance toward innovation in the post-adoption or intra-organizational diffusion stage. This study looks at the direct and indirect relationships between innovation resistance and some key constructs such as job satisfaction, job performance, self-efficacy, group-efficacy, innovativeness, and peer usage. This study represents also one of the very few empirical studies conducted on sales force behavior in South Korea and as such may offer some insights on sales force management in collectivist cultures.     

Metatheory of network management: A contingency perspective

This paper introduces a metatheoretical, contingency-based framework of inter-organizational network management. We define four basic network management functions and suggest that they are universal to all inter-organizational networks. We argue that management tasks, derived from more general management functions and contingent upon network characteristics, differ according to network type. We further argue that the roles that different actors in a network can adopt depend on their resources and capabilities. The framework contributes to the emerging theory of network management by clarifying the connections between its different conceptualizations and layers. A clear implication of the framework is that it is fundamentally useless to argue that networks cannot be managed. Networks are being managed, all of the time. However, we agree that the extent to which networks can be managed differs from one network to another along with the managerial tasks employed.     

Bounded socio-technical experiments as agents of systemic change: The case of a zero-energy residential building

Large-scale shifts in dominant technologies are the necessary components of a transition toward sustainability. Such shifts are difficult because, in addition to technological innovation, they require changes in the existing institutions, professional norms, belief systems and, in some cases, also lifestyles. In the languages of cognitive and policy sciences, higher order learning on a scale ranging from individuals to professional and business communities, to the society at large, is needed. Higher order learning is especially crucial in the types of innovations that depend mainly on synthesis of existing technologies and know-how to achieve radical reductions in energy and material consumption, as is the case with high performance buildings. One way to facilitate this type of learning is through experimentation with new technologies and services.Drawing on our earlier concept of a Bounded Socio-Technical Experiment, in this paper we propose a four-level conceptual framework for mapping and monitoring the learning processes taking place in a BSTE, and apply it to an empirical case study of a zero-fossil-fuel residential building in Boston. Three major conclusions are that: learning took place both on the individual and team level, that individual learning primarily (but not exclusively) involved changes in problem definitions; and that team learning consisted of participant turnover until congruence in worldviews and interpretive frames was achieved. This case study also shows that we must think of innovating in building design as both a process and a product, and that both must be considered in the future efforts to replicate this building.This study highlights that technological innovation about technology as much as about people, their perceptions, and their interactions with each other and with the material world. Sustainability will not be reached by technology alone, but by deep learning by individuals, groups, professional societies and other institutions.     

A theory of innovation for process-based innovations such as nanotechnology

Many see Nanotechnology as the technology that will underlie the next Schumpeterian wave creating new opportunities for wealth and job creation. Further it is a process based or materials technology. Yet all currently used models of innovation are based on assembled products or service products and these simply do not recognize the differences in materials products nor the “enabling” nature of Nanotechnologies. If nanotechnology is poised to become the economic engine of this millennium and if current models of innovation, which are utilized, by policy makers and firm based strategist alike are based on technology product paradigms that are dissimilar to the realities of nanotechnology and other process-based technologies then there is cause for concern.Here the authors provide a model and supporting cases demonstrating a new process or materials based innovation model that is based on the tight coupling between product and process innovation of not only Nanotechnology-based products but other process-based products. This is an important finding, because it identifies and remedies a gap in the literature associated with earlier process and product innovation models. For process-based products like materials, food, chemicals and nanotechnologies any change to the manufacturing processes results in significant changes in end product features. The implications of this model to practice are considered.     

A multi-level analysis of sustainable mobility transitions: Niche development in the UK and Sweden

A wide range of intractable problems such as polluting emissions, noise, accidents, resource depletion, and inaccessibility of amenities are associated with the current transport regime. Given the slow movement towards a more sustainable mobility system, more radical, systemic innovation - a ‘transition’ - is required. Broadly speaking, this may be achieved via three routes: technological change, modal shift, and reduced travel demand. Drawing on concepts from the transitions literature (e.g., [Geels, F.W.: Technological Transitions and System Innovations: A Co-evolutionary and Socio-Technical Analysis, Edward Elgar, Cheltenham, 2005.]), we conceptualise each of these routes as a bundle of niche activities within an Area of Innovation, deviating to differing degrees from the current mobility ‘regime’. We present empirical evidence and indications of ongoing development of niches in these three areas within the UK and Sweden, and explore processes of co-evolution, divergence and tension within and between niches. Findings indicate recent market penetration of novel transport technologies, more advanced than modal shift or demand management activities; however, different transport technologies are more successful in each country. We also identify examples of a close relationship between development of radical vehicle/fuel technologies and provision of mobility services; and information technology as a driver in all three areas of innovation. We conclude that future innovation in transport depends on diversity, hybridisation, and co-evolution of niches. Finally, policy implications are discussed.     

Multiple generation product life cycle predictions using a novel two-stage fuzzy piecewise regression analysis method

Product life cycle (PLC) prediction plays a crucial role in strategic planning and policy definition for high-technology products. Forecast methodologies which can predict PLCs accurately can help to achieve successful strategic decision-making, forecasting, and foresight activities in high-technology firms, research institutes, governments, and universities. Over the past few decades, even though analytic framework strategies have been proposed for production, marketing, R&D (research and development), and finance, aiming at each stage of PLCs, forecast methodologies with which to predict PLCs are few. The purpose of this research is to develop a novel forecast methodology to allow for predictions of product life time (PLT) and the annual shipment of products during the entire PLC of multiple generation products. A novel two-stage fuzzy piecewise regression analysis method is proposed in this paper. In the first stage, the product life-time of the specific generation to be analyzed will be predicted by the fuzzy piecewise regression line that is derived based upon the product life-time of earlier generations. In the second stage of the forecast methodology, the annual shipment of products of the specified generation will be predicted by deriving annual fuzzy regression lines for each generation, based upon the historical data on the earlier generations' products. An empirical study predicting the life-time and the annual shipment of the 16 Mb (Mega bit) DRAM (Dynamic Random Access Memory) PLC is illustrated to validate the analytical process. The results demonstrate that two-stage fuzzy piecewise regression analysis can predict multiple generation PLT and PLC precisely, thereby serving as a foundation for future strategic planning, policy definitions and foresights.     

Japanese distribution system: The impact of newly designed collaborations on wholesalers' performance

In January 1995, the Kobe earthquake devastated a major part of Kobe's distribution infrastructure. Apart from the expected complaints about lost sales, wholesalers reported some surprising comments after the reopening. Wholesalers stressed the advantages of newly designed distribution channels, especially the opportunity to end longstanding business relationships known as keiretsu. This study is concerned with the recent development of vertical collaboration in the Japanese distribution channel. Multiple regression analysis revealed that the supplier's service to wholesaler, the supplier's offerings to the wholesaler, and buyer's service to the wholesaler did contribute to the enhancement of the performance of the wholesaler. The three factors explained 16% of the wholesaler's performance. The regression analysis also showed that the wholesaler's intra-logistics activities contributed to the improvement of the performance of the wholesaler and explained 5% of its performance.     

Entrepreneurial orientation and firm performance: The role of knowledge creation process

This study examines the relationships among entrepreneurial orientation, knowledge creation process, and firm performance using survey data from 165 entrepreneurs. We use LISREL analysis to test the direct and indirect effects of the entrepreneurial orientation on firm performance. Knowledge creation process - operationalized to reflect the dimensions of socialization, externalization, combination, and internalization - is used as the mediating variable for explaining the relationship between entrepreneurial orientation and firm performance. The results indicate that the significance of the direct effect of entrepreneurial orientation on firm performance is reduced when the indirect effect of entrepreneurial orientation through knowledge creation process is included in a total effect model. Consequently, entrepreneurial orientation is positively related to firm performance, and knowledge creation process plays a mediating role in this relationship.     

An enhanced approach for Trend Impact Analysis

Decision makers in governments, corporations and institutions all need to forecast the future. Usually, traditional quantitative forecasting techniques are applied for this purpose. But the limitation of such methods is well known since all quantitative methods that are built solely on historical data (whether time-series or causal methods) produce forecasts by extrapolating such data into the future ignoring the effects of unprecedented future events that could cause deviation from the original surprise-free forecast if they were to occur. In the meanwhile, pure qualitative methods that don't utilize historical data miss its sound foundation. In the field of future studies, attempts are often made to combine quantitative and qualitative approaches using various hybrid methods such as Trend Impact Analysis. This paper introduces an advanced algorithm to enhance Trend Impact Analysis that adds another level of sophistication to the current algorithm. This advanced algorithm takes into account not only the impact of unprecedented future events' occurrences on the future trend, but also the different severity degrees with which the event might occur. This idea of severity degrees is novel, and its implementation is the main contribution of this paper.     

Stability through cycles

Economic variables like GDP growth, employment, interest rates and consumption show signs of cyclical behavior. Many variables display multiple cycles, with periods ranging in between 5 to even up to 100 years. We argue that multiple cycles can be associated with long-run stability of the economic system, provided that the cycle periods are such that interference is rare or absent. For a large sample of important variables, including key variables for the US, UK and the Netherlands, we document that this is indeed the case.