International Journal of Business Innovation and Research http://www.inderscience.com/browse/index.php?journalID=203&year=2012&vol=6&issue=1 Inderscience Publishers Ltd en-uk International Journal of Business Innovation and Research 1751-0252 1751-0260 © 2012 Inderscience Publishers Ltd editor@inderscience.com https://www.inderscience.com/images/files/coverImgs/ijbir_scoverijbir.jpg http://www.inderscience.com/browse/index.php?journalID=203&year=2012&vol=6&issue=1 http://www.inderscience.com/link.php?id=44255 Prior research on whether network effects outweigh product advantage in determining the market success of new products is mainly theoretical with little empirical evidence. This paper dissects the network effects phenomenon, and discovers that different network effect dimensions exert conflicting moderating influences on product performance. Examining survey data on 272 new product launches, the results indicate that product advantage matters regardless of network effects. Further, while some components of network effects can be leveraged to help customers overcome their uncertainties towards new product adoption, some create additional anxieties that harm product performance. Implications for marketing practitioners as well as academia are discussed. Network effects and new product success: strengthening product advantage, overcoming customer uncertainty?
Susanna Winter
International Journal of Business Innovation and Research, Vol. 6, No. 1 (2012) pp. 1 - 27
Prior research on whether network effects outweigh product advantage in determining the market success of new products is mainly theoretical with little empirical evidence. This paper dissects the network effects phenomenon, and discovers that different network effect dimensions exert conflicting moderating influences on product performance. Examining survey data on 272 new product launches, the results indicate that product advantage matters regardless of network effects. Further, while some components of network effects can be leveraged to help customers overcome their uncertainties towards new product adoption, some create additional anxieties that harm product performance. Implications for marketing practitioners as well as academia are discussed.

]]> 10.1504/IJBIR.2012.044255 International Journal of Business Innovation and Research, Vol. 6, No. 1 (2012) pp. 1 - 27 Susanna Winter School of Business, Lappeenranta University of Technology, P.O. Box 20, Lappeenranta 53850, Finland network effects product advantage customer uncertainty new product launches new product performance new product success market success new products conflicting influences moderating influences new product adoption marketing practitioners academia business innovation R&D research and development. 2011-12-14T23:20:50-05:00 6 1 1 27 2011-12-14T23:20:50-05:00 http://www.inderscience.com/link.php?id=44256 The market basket is defined as an itemset purchased together by a customer on a single visit to a store. The market basket analysis is an influential tool for the implementation of store layout and promotional campaign. Particularly in retailing, it is necessary to discover large baskets, since it deals with thousands of items. Most of the previous studies adopt an apriori-like candidate set generation-and-test approach to analyse the market basket data. Although some algorithms can find large itemsets, they can be inefficient in terms of computational time and memory consumption. The aim of this paper is to present new scheme to discover association rules. In addition, a case study in the retailer market is presented to validate the efficiency of the proposed scheme. A new scheme for extracting association rules: market basket analysis case study
Aiman Moyaid Said; P.D.D. Dominic; Suhaiza Zailani
International Journal of Business Innovation and Research, Vol. 6, No. 1 (2012) pp. 28 - 46
The market basket is defined as an itemset purchased together by a customer on a single visit to a store. The market basket analysis is an influential tool for the implementation of store layout and promotional campaign. Particularly in retailing, it is necessary to discover large baskets, since it deals with thousands of items. Most of the previous studies adopt an apriori-like candidate set generation-and-test approach to analyse the market basket data. Although some algorithms can find large itemsets, they can be inefficient in terms of computational time and memory consumption. The aim of this paper is to present new scheme to discover association rules. In addition, a case study in the retailer market is presented to validate the efficiency of the proposed scheme.

]]> 10.1504/IJBIR.2012.044256 International Journal of Business Innovation and Research, Vol. 6, No. 1 (2012) pp. 28 - 46 Aiman Moyaid Said; P.D.D. Dominic; Suhaiza Zailani Department of Computer and Information Science, Universiti Teknologi PETRONAS, Tronoh, Perak 31750, Malaysia ' Department of Computer and Information Science, Universiti Teknologi PETRONAS, Tronoh, Perak 31750, Malaysia ' School of Management, Universiti Sains Malaysia, Penang 11800, Malaysia association rules frequent itemsets store layouts decision-making promotion decisions market basket analysis customers single visits promotional campaigns retailing retail trade shopping large baskets a priori-like candidates generation-and-test approach computational time memory consumption supermarkets business innovation business research. 2011-12-14T23:20:50-05:00 6 1 28 46 2011-12-14T23:20:50-05:00 http://www.inderscience.com/link.php?id=44257 The aim of this research is to examine new product development (NPD) process phases as well as investigating their antecedents and consequences in Jordan’s manufacturing organisations. The research model was empirically tested on 473 manufacturing organisations from which 355 were returned and valid for the analysis. The structural equation modelling findings indicate that customer orientation and competitor orientation exerted a positive effect on both NPD initiation and NPD implementation phases. NPD initiation phase exerted a positive effect on NPD implementation phase. Also, each of NPD initiation and NPD implementation phases exerted a positive effect on new product competitive advantage (NPCA). NPCA exerted a positive effect new product financial performance. The contribution of this paper in the field of NPD lies in fulfilling theoretical and practical gaps that required further empirical investigation. The research results discussions, conclusions, managerial implications, contribution and limitations and future research agenda are all underlined. An empirical model of new product development process: phases, antecedents and consequences
Mamoun N. Akroush
International Journal of Business Innovation and Research, Vol. 6, No. 1 (2012) pp. 47 - 75
The aim of this research is to examine new product development (NPD) process phases as well as investigating their antecedents and consequences in Jordan’s manufacturing organisations. The research model was empirically tested on 473 manufacturing organisations from which 355 were returned and valid for the analysis. The structural equation modelling findings indicate that customer orientation and competitor orientation exerted a positive effect on both NPD initiation and NPD implementation phases. NPD initiation phase exerted a positive effect on NPD implementation phase. Also, each of NPD initiation and NPD implementation phases exerted a positive effect on new product competitive advantage (NPCA). NPCA exerted a positive effect new product financial performance. The contribution of this paper in the field of NPD lies in fulfilling theoretical and practical gaps that required further empirical investigation. The research results discussions, conclusions, managerial implications, contribution and limitations and future research agenda are all underlined.

]]> 10.1504/IJBIR.2012.044257 International Journal of Business Innovation and Research, Vol. 6, No. 1 (2012) pp. 47 - 75 Mamoun N. Akroush Talal Abu-Ghazaleh Graduate School of Business Administration, The German Jordanian University, P.O. Box 921951, Amman 11192, Jordan new product development customer orientation competitor orientation Jordan development processes manufacturing industry structural equation modelling initiation phases NPD implementation phases competitive advantage financial performance managerial implications business innovation R&D research and development. 2011-12-14T23:20:50-05:00 6 1 47 75 2011-12-14T23:20:50-05:00 http://www.inderscience.com/link.php?id=44258 Chaos seldom occurs but during the phase of chaos and for sometime after its occurrence, there is a lack of order and a scope of heavy incurred or potential losses. For most living beings, chaos makes life difficult. The occurrence of chaos is a reality but the coming of chaos is often too hazy to be viewed early. For business firms’ like living organisms’, it is important to face the chaos in first-hand and then manage the chaotic phase such that there is restoration of order at the earliest and minimisation of losses till the end. If there can be a way to structure the phenomenon of a chaotic situation, then it would help managers to comprehend chaos better for organisational success. This paper attempts to develop a set of procedure to structure chaos in terms of its sensitivity, complexity, uncertainty and scope of potential or incurred loss. Based on Indian examples, looking at chaos becomes even more exiting as India is both a developing country as well as an emerging economy (thus offering shades of developed country landscape). Managing chaos in India is very challenging and hence this paper will bring very rich insights for managers and researchers in this field. Reflections on mapping chaos in the business organisational landscape
Som Sekhar Bhattacharyya; Rakshit Rangarajan; Kartik G. Vyas
International Journal of Business Innovation and Research, Vol. 6, No. 1 (2012) pp. 76 - 116
Chaos seldom occurs but during the phase of chaos and for sometime after its occurrence, there is a lack of order and a scope of heavy incurred or potential losses. For most living beings, chaos makes life difficult. The occurrence of chaos is a reality but the coming of chaos is often too hazy to be viewed early. For business firms’ like living organisms’, it is important to face the chaos in first-hand and then manage the chaotic phase such that there is restoration of order at the earliest and minimisation of losses till the end. If there can be a way to structure the phenomenon of a chaotic situation, then it would help managers to comprehend chaos better for organisational success. This paper attempts to develop a set of procedure to structure chaos in terms of its sensitivity, complexity, uncertainty and scope of potential or incurred loss. Based on Indian examples, looking at chaos becomes even more exiting as India is both a developing country as well as an emerging economy (thus offering shades of developed country landscape). Managing chaos in India is very challenging and hence this paper will bring very rich insights for managers and researchers in this field.

]]> 10.1504/IJBIR.2012.044258 International Journal of Business Innovation and Research, Vol. 6, No. 1 (2012) pp. 76 - 116 Som Sekhar Bhattacharyya; Rakshit Rangarajan; Kartik G. Vyas National Institute of Industrial Engineering, Faculty Room No-212, Training Block, NITIE Campus, Vihar Lake Road, Mumbai 400087, India ' National Institute of Industrial Engineering, NITIE Campus, Vihar Lake Road, Mumbai 400087, India ' National Institute of Industrial Engineering, NITIE Campus, Vihar Lake Road, Mumbai 400087, India chaos mapping business strategies environmental turbulence uncertainty management business landscapes organisational landscapes order restoration incurred losses potential losses chaotic phases loss minimisation chaotic situations managers organisational success sensitivity complexity India developing countries emerging economies responses business innovation business research. 2011-12-14T23:20:50-05:00 6 1 76 116 2011-12-14T23:20:50-05:00 http://www.inderscience.com/link.php?id=44259 In this paper, the agroPLAN decision support system (DSS) presented; agroPLAN is a DSS for the planning of agricultural production agricultural holdings or in agricultural areas. It is one of the main farm management applications of the agroGOV.gr portal. The utilisation of the agroPLAN DSS supports the farmer-manager in the difficult process of farm management and decision-making. In particular, agroPLAN simulates different scenarios and policies and proposes alternative production plans. It is based a multicriteria mathematical programming model and can achieve the optimum agricultural production plan in a farm or in an agricultural area combining different criteria to a utility function under a set of constraints concerning different categories of land, labour, available capital, etc. The objective of this application is to help the farmer-user to gain control of the external environment with easy access to knowledge and information. A DSS for planning the agricultural production
Thomas Bournaris; Jason Papathanasiou
International Journal of Business Innovation and Research, Vol. 6, No. 1 (2012) pp. 117 - 134
In this paper, the agroPLAN decision support system (DSS) presented; agroPLAN is a DSS for the planning of agricultural production agricultural holdings or in agricultural areas. It is one of the main farm management applications of the agroGOV.gr portal. The utilisation of the agroPLAN DSS supports the farmer-manager in the difficult process of farm management and decision-making. In particular, agroPLAN simulates different scenarios and policies and proposes alternative production plans. It is based a multicriteria mathematical programming model and can achieve the optimum agricultural production plan in a farm or in an agricultural area combining different criteria to a utility function under a set of constraints concerning different categories of land, labour, available capital, etc. The objective of this application is to help the farmer-user to gain control of the external environment with easy access to knowledge and information.

]]> 10.1504/IJBIR.2012.044259 International Journal of Business Innovation and Research, Vol. 6, No. 1 (2012) pp. 117 - 134 Thomas Bournaris; Jason Papathanasiou Department of Agricultural Economics, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece ' Department of Marketing and Operations Management, University of Macedonia, Agiou Dimitriou 49, Edessa 58200, Greece DSS decision support systems agricultural planning farm management farming farmers agriculture multicriteria analysis AgroPLAN production planning agricultural holdings Greece agricultural areas agroGOV e-government electronic government internet world wide web web portals farmer-managers decision-making scenario simulation policy simulation alternative plans mathematical programming models utility functions constraints land labour available capital farmer-users external environment knowledge access information access business innovation R&D research and development. 2011-12-14T23:20:50-05:00 6 1 117 134 2011-12-14T23:20:50-05:00