Most recent issue published online in the International Journal of Intercultural Information Management.
International Journal of Intercultural Information Management
http://www.inderscience.com/browse/index.php?journalID=197&year=2015&vol=5&issue=1/2
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International Journal of Intercultural Information Management
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© 2015 Inderscience Enterprises Ltd.
© 2015 Inderscience Publishers Ltd
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International Journal of Intercultural Information Management
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http://www.inderscience.com/browse/index.php?journalID=197&year=2015&vol=5&issue=1/2
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Loss in tacit knowledge because of employees attrition
http://www.inderscience.com/link.php?id=72541
Knowledge management systems have tried to elicit tacit knowledge, best practices and relevant experiences from people throughout a company and put this information in a widely available database. Many of the knowledge management initiatives just fail because individuals are incentivised to use the knowledge toward business goals, there is no (or very little) incentive to share or seek knowledge. We look at the problem of tacit knowledge from the consumer's point of view. The mirage of utilising the tacit knowledge can be best solved by making it easy to find the individual with that tacit knowledge. In this paper we use quantitative research methodology to find the extent of tacit knowledge that is within the organisation and whether the organisation uses this knowledge on a regular basis. Based on a survey questionnaire we try understand the usage of tacit knowledge within the organisations. We evaluate whether tacit knowledge has any practical utility or not. We also look at the knowledge contained within the groups and how it is used within the organisations. We also evaluate whether tacit knowledge with an individual diffuses to the individuals most closely working with him.
Loss in tacit knowledge because of employees attrition
Vinay Avasthi; Shubhamoy Dey
International Journal of Intercultural Information Management, Vol. 5, No. 1/2 (2015) pp. 1 - 18
Knowledge management systems have tried to elicit tacit knowledge, best practices and relevant experiences from people throughout a company and put this information in a widely available database. Many of the knowledge management initiatives just fail because individuals are incentivised to use the knowledge toward business goals, there is no (or very little) incentive to share or seek knowledge. We look at the problem of tacit knowledge from the consumer's point of view. The mirage of utilising the tacit knowledge can be best solved by making it easy to find the individual with that tacit knowledge. In this paper we use quantitative research methodology to find the extent of tacit knowledge that is within the organisation and whether the organisation uses this knowledge on a regular basis. Based on a survey questionnaire we try understand the usage of tacit knowledge within the organisations. We evaluate whether tacit knowledge has any practical utility or not. We also look at the knowledge contained within the groups and how it is used within the organisations. We also evaluate whether tacit knowledge with an individual diffuses to the individuals most closely working with him.]]>
10.1504/IJIIM.2015.072541
International Journal of Intercultural Information Management, Vol. 5, No. 1/2 (2015) pp. 1 - 18
Vinay Avasthi
Shubhamoy Dey
Department of Information Systems, Indian Institute of Management, Indore, MP, India ' Department of Information Systems, Indian Institute of Management, Indore, MP, India
knowledge loss
tacit knowledge
complex organisations
organisational structure
knowledge management systems
individual knowledge
group knowledge
knowledge diffusion
2015-10-18T23:20:50-05:00
Copyright © 2015 Inderscience Enterprises Ltd.
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Application of Fishbein model using predictive analytics for measuring purchase intention of the DTH consumers
http://www.inderscience.com/link.php?id=72542
The Indian direct to home (DTH) industry has seen an exponential rise due to the mandatory digitalisation and the internet penetration in the country. The objective of this paper is to use the Fishbein model in order to understand various service attributes that influence the purchase intention of the DTH customers and to test empirically the hypothesised relationship between the attributes and the purchase intention. A survey was conducted on 480 DTH customers to understand the factors that affect their purchase intention. Factors analysis and regression analysis has been used to analyse the data. Though a lot of research has been conducted on customer experience management (CEM) yet the idea of computing purchase intention for the DTH industry using the Fishbein model is a novel and unexplored idea. The results will help DTH operators in prioritising the service attributes from the customer's engagement point of view.
Application of Fishbein model using predictive analytics for measuring purchase intention of the DTH consumers
Sujata Joshi; Sanjay Bhatia; Disha Puri; Arindom Roy; Jyoti Saini
International Journal of Intercultural Information Management, Vol. 5, No. 1/2 (2015) pp. 19 - 36
The Indian direct to home (DTH) industry has seen an exponential rise due to the mandatory digitalisation and the internet penetration in the country. The objective of this paper is to use the Fishbein model in order to understand various service attributes that influence the purchase intention of the DTH customers and to test empirically the hypothesised relationship between the attributes and the purchase intention. A survey was conducted on 480 DTH customers to understand the factors that affect their purchase intention. Factors analysis and regression analysis has been used to analyse the data. Though a lot of research has been conducted on customer experience management (CEM) yet the idea of computing purchase intention for the DTH industry using the Fishbein model is a novel and unexplored idea. The results will help DTH operators in prioritising the service attributes from the customer's engagement point of view.]]>
10.1504/IJIIM.2015.072542
International Journal of Intercultural Information Management, Vol. 5, No. 1/2 (2015) pp. 19 - 36
Sujata Joshi
Sanjay Bhatia
Disha Puri
Arindom Roy
Jyoti Saini
Symbiosis Institute of Telecom Management, Village Lavale, Pune, Maharashtra 412115, India ' CyberCity Tower 2, Magarpatta City, Hadapsar, Pune, Maharashtra 411013, India ' Symbiosis Institute of Telecom Management, Village Lavale, Pune, Maharashtra 412115, India ' Symbiosis Institute of Telecom Management, Village Lavale, Pune, Maharashtra 412115, India ' Symbiosis Institute of Telecom Management, Village Lavale, Pune, Maharashtra 412115, India
predictive analytics
India
direct to home
DTH industry
Fishbein model
theory of reasoned action
purchase intention
service attributes
customer engagement
2015-10-18T23:20:50-05:00
Copyright © 2015 Inderscience Enterprises Ltd.
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36
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Influence of personal values and the adoption of analytical tools using laddering methodology
http://www.inderscience.com/link.php?id=72543
Analytical tools in business management are understood as a combination of information technologies and quantitative methods used to assist stakeholders to make better decisions. The contemporary business environment is dramatically changing by the massive accumulation of data. Now, as never before, the use of analytical tools must be expanded to take advantage of this growing digital universe. This article will apply the laddering technique to see how personal values (or managerial functions) influence a company's adoption of analytical tools. A set of ten in-depth interviews are conducted with CEOs, analytics consultants, academics and businessmen in order to establish quantitative relations among attributes, consequences and personal values. Two 'easy-to-read' outputs are provided to interpret our results. The most important links are quantitatively associated through an implication matrix, and then visually represented on a hierarchical value map. Guidelines for improving the use of analytical tools are provided in the last section.
Influence of personal values and the adoption of analytical tools using laddering methodology
Igor Barahona Torres; Alex Riba; James Freeman
International Journal of Intercultural Information Management, Vol. 5, No. 1/2 (2015) pp. 37 - 56
Analytical tools in business management are understood as a combination of information technologies and quantitative methods used to assist stakeholders to make better decisions. The contemporary business environment is dramatically changing by the massive accumulation of data. Now, as never before, the use of analytical tools must be expanded to take advantage of this growing digital universe. This article will apply the laddering technique to see how personal values (or managerial functions) influence a company's adoption of analytical tools. A set of ten in-depth interviews are conducted with CEOs, analytics consultants, academics and businessmen in order to establish quantitative relations among attributes, consequences and personal values. Two 'easy-to-read' outputs are provided to interpret our results. The most important links are quantitatively associated through an implication matrix, and then visually represented on a hierarchical value map. Guidelines for improving the use of analytical tools are provided in the last section.]]>
10.1504/IJIIM.2015.072543
International Journal of Intercultural Information Management, Vol. 5, No. 1/2 (2015) pp. 37 - 56
Igor Barahona Torres
Alex Riba
James Freeman
Department of Statistics, Mathematics and Computer Science, Cátedras CONACYT, Autonomous University Chapingo, 56230, Km. 37.5 Highway México-Texcoco, México ' Statistical Services Centre, University of Reading, Harry Pitt Building, Whiteknights Road, Reading RG6 6FN, UK ' Decision and Cognitive Sciences, Manchester Business School, University of Manchester, Manchester M15 6PB, UK
laddering technique
personal values
business performance
analytical tools
business management
2015-10-18T23:20:50-05:00
Copyright © 2015 Inderscience Enterprises Ltd.
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56
2015-10-18T23:20:50-05:00
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Mining marketing intelligence from online reviews using sentiment analysis
http://www.inderscience.com/link.php?id=72544
Online product reviews have emerged as a powerful medium for generating electronic word-of-mouth. Many consumers share their opinions, post purchase experiences, and recommendations about products and services in online reviews that may be used by potential consumers to assist them in making product choices and purchase decisions. Users' opinions expressed in reviews are important for potential consumers to make well informed purchase decisions, and for product manufacturers to get insights about their products' strengths and weaknesses. This paper argues that online reviews are a rich source of marketing intelligence that can be extracted in the form of users' opinions by applying advanced text processing and analysis techniques. In particular, this paper proposes the use of sentiment analysis for extracting marketing intelligence from online reviews. The experimental results on hotel reviews show that sentiment analysis can be an effective way of deriving marketing intelligence and benchmarking information from online reviews.
Mining marketing intelligence from online reviews using sentiment analysis
Anuj Sharma; Shubhamoy Dey
International Journal of Intercultural Information Management, Vol. 5, No. 1/2 (2015) pp. 57 - 82
Online product reviews have emerged as a powerful medium for generating electronic word-of-mouth. Many consumers share their opinions, post purchase experiences, and recommendations about products and services in online reviews that may be used by potential consumers to assist them in making product choices and purchase decisions. Users' opinions expressed in reviews are important for potential consumers to make well informed purchase decisions, and for product manufacturers to get insights about their products' strengths and weaknesses. This paper argues that online reviews are a rich source of marketing intelligence that can be extracted in the form of users' opinions by applying advanced text processing and analysis techniques. In particular, this paper proposes the use of sentiment analysis for extracting marketing intelligence from online reviews. The experimental results on hotel reviews show that sentiment analysis can be an effective way of deriving marketing intelligence and benchmarking information from online reviews.]]>
10.1504/IJIIM.2015.072544
International Journal of Intercultural Information Management, Vol. 5, No. 1/2 (2015) pp. 57 - 82
Anuj Sharma
Shubhamoy Dey
Information Systems Area, Chandragupt Institute of Management Patna, Patna 800001, India ' Information Systems Area, Indian Institute of Management, Indore 453556, India
marketing intelligence
online reviews
opinion mining
sentiment analysis
word-of-mouth
electronic WoM
e-WoM
product reviews
user opinions
hotel reviews
hotels
data mining
2015-10-18T23:20:50-05:00
Copyright © 2015 Inderscience Enterprises Ltd.
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Cultural perspectives on ERP implementation in Jordan: a comparison between public and private sectors
http://www.inderscience.com/link.php?id=72545
Like many other developing countries, Jordan is adopting enterprise resource planning (ERP) systems in both its public and private sectors. Jordan's emerging private sector has historically close ties to the public sector, though a global market orientation requires a shift in its organisational culture. ERPs however embed business processes which do not necessarily fit with traditional cultural practices, and implementation success is not assured. This study looks at the perceptions of both public and private sector ERP implementations in Jordan and assesses these on various measures of success. There were few differences between public and private sectors, but the benefits actually realised in Jordanian ERPs fell short of claims made for the technology in other cultures. Considerable customisation was required in both sectors, and the traditional style of management in Jordan did not fit well with the requirements for successful implementation. This is consistent with recent studies from various countries that show cultural fit is a particularly neglected factor in assessing ERP success.
Cultural perspectives on ERP implementation in Jordan: a comparison between public and private sectors
Ahmad A. Rabaa'i; Enas AlJamal
International Journal of Intercultural Information Management, Vol. 5, No. 1/2 (2015) pp. 83 - 102
Like many other developing countries, Jordan is adopting enterprise resource planning (ERP) systems in both its public and private sectors. Jordan's emerging private sector has historically close ties to the public sector, though a global market orientation requires a shift in its organisational culture. ERPs however embed business processes which do not necessarily fit with traditional cultural practices, and implementation success is not assured. This study looks at the perceptions of both public and private sector ERP implementations in Jordan and assesses these on various measures of success. There were few differences between public and private sectors, but the benefits actually realised in Jordanian ERPs fell short of claims made for the technology in other cultures. Considerable customisation was required in both sectors, and the traditional style of management in Jordan did not fit well with the requirements for successful implementation. This is consistent with recent studies from various countries that show cultural fit is a particularly neglected factor in assessing ERP success.]]>
10.1504/IJIIM.2015.072545
International Journal of Intercultural Information Management, Vol. 5, No. 1/2 (2015) pp. 83 - 102
Ahmad A. Rabaa'i
Enas AlJamal
Department of Computer Science and Information Systems, College of Arts and Sciences, American University of Kuwait (AUK), Safat, Kuwait ' Department of Mathematics and Natural Sciences, College of Arts and Sciences, American University of Kuwait (AUK), Safat, Kuwait
CSFs
critical success factors
enterprise resource planning
ERP systems
ERP implementation
culture
Jordan
cultural perspectives
public sector
private sector
2015-10-18T23:20:50-05:00
Copyright © 2015 Inderscience Enterprises Ltd.
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102
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