EFFECTS OF ENVIRONMENTAL CONDITIONS ON BUSINESS SCHOOLS INTENTIONS TO OFFER E-COMMERCE DEGREE PROGRAMS



Similar documents
INVESTIGATING BUSINESS SCHOOLS INTENTIONS TO OFFER E-COMMERCE DEGREE-PROGRAMS

Exploring the Drivers of E-Commerce through the Application of Structural Equation Modeling

Mobile Stock Trading (MST) and its Social Impact: A Case Study in Hong Kong

THE EFFECT OF ORGANIZATIONAL CULTURE ON E-COMMERCE ADOPTION

Task-Technology Fit and Adoption Behaviors of Mobile Business Systems

Selznick, P. (1948). Foundations of the Theory of Organization.

International Journal of Advance Research in Computer Science and Management Studies

EXAMINING HEALTHCARE PROFESSIONALS ACCEPTANCE OF ELECTRONIC MEDICAL RECORDS USING UTAUT

A COMPARISON ANALYSIS ON THE INTENTION TO CONTINUED USE OF A LIFELONG LEARNING WEBSITE

A UNIFIED APPROACH TOWARDS E-COMMERCE ADOPTION BY SMMES IN SOUTH AFRICA

The Impact of Management Information Systems on the Performance of Governmental Organizations- Study at Jordanian Ministry of Planning

Indices of Model Fit STRUCTURAL EQUATION MODELING 2013

The Diffusion of E-Learning Innovations in an Australian Secondary College: Strategies and Tactics for Educational Leaders

PHYSICIANS ACCEPTANCE OF WEB-BASED MEDICAL ASSESSMENT SYSTEMS: FINDINGS FROM A NATIONAL SURVEY

Assessing a theoretical model on EFL college students

E-Commerce Usage in Hotel Industries Capabilities

point of view The Customer Experience: People Make the Difference What Is an Exceptional Customer Experience? Why the Customer Experience Matters

Attitude, Behavioral Intention and Usage: An Empirical Study of Taiwan Railway s Internet Ticketing System

Consumer Search & Real Estate Websites: A Replication and Extension of the TAM

Consumers attitude towards online shopping: Factors influencing employees of crazy domains to shop online

E-commerce. business. technology. society. Kenneth C. Laudon Carol Guercio Traver. Third Edition. Copyright 2007 Pearson Education, Inc.

Factors affecting the innovation in logistics information systems for logistics service providers in Taiwan

086 The study of the Factors Affecting the Customer Loyalty of Lotteria fast food restaurants in Yangon, Myanmar

Evaluating User Acceptance of Online Banking Information Systems: An Empirical Case of Pakistan Paper 18

Facilitators and Inhibitors for Deploying Businessto-Business E-Commerce Applications: A Multi- Method, Cross-Cultural Study

CRITICAL SUCCESS FACTORS FOR SHARED SERVICES: A RESEARCH AGENDA

International Journal of Economics and Management Sciences Vol. 1, No. 7, 2012, pp

Technological Acceptance and Consumer's Behavior on Buying Online Insurance

Least Squares Estimation

The Technology Acceptance Model with Online Learning for the Principals in Elementary Schools and Junior High Schools

The inference of stickiness to trust repair in virtual community

Service Quality Value Alignment through Internal Customer Orientation in Financial Services An Exploratory Study in Indian Banks

MARKETING HIGH-TICKET PRODUCTS: HOW TO SELL EXPENSIVE ITEMS ON THE WEB

TYPES OF B2B E-BUSINESS MODEL COMMONLY USED: AN EMPIRICAL STUDY ON AUSTRALIAN AGRIBUSINESS FIRMS

Department of Business Management, Islamic Azad University, Iran

Kittipat Laisasikorn Thammasat Business School. Nopadol Rompho Thammasat Business School

Data Quality Assessment

Mediation of Computerized Accounting System (CAS) Adoption on Relationship Between Environmental Uncertainty and Organizational Performance

THE LINK BETWEEN ORGANIZATIONAL CULTURE AND PERFORMANCE MANAGEMENT PRACTICES: A CASE OF IT COMPANIES FROM ROMANIA

Issues in Information Systems

UNDERSTANDING EXPLORATORY USE

EARNING EXPECTED BENEFITS OF ERP FOR INSURANCE ORGANIZATIONS IN SRI LANKA: IMPLEMENTATION PERSPECTIVE

Issues in Information Systems Volume 16, Issue I, pp , 2015

DOES ONLINE TRADING AFFECT INVESTORS TRADING INTENTION? Ya-Hui Wang, National Chin-Yi University of Technology

LOCAL FOOD CONSUMERS: HOW MOTIVATIONS AND PERCEPTIONS TRANSLATE TO BUYING BEHAVIOR

A STUDY OF THE IMPACT OF KNOWLEDGE MANAGEMENT ON SUPPLY CHAIN CAPABILITY

Factors Influencing Implementation of CRM Technology Among Small and Medium Sized Enterprises. Abstract. Introduction

Center for Research on Information Technology and Organizations UC Irvine

A STUDY OF OPEN INNOVATION IN CLOUD COMPUTING

Which B2B E-Business Model To Adopt: The Case Of Taiwan Agribusiness Firms. Eric Ng, Les Brown, University of Southern Queensland.

THE EFFECT OF TECHNOLOGICAL AND COMMERCIAL VIABILITY ON MICROSOFT TAIWAN INNOVATION COMPETENCY

Literature Review of Information Technology Adoption Models at Firm Level

MAGNT Research Report (ISSN ) Vol.2 (Special Issue) PP:

TRUST IN E-COMMERCE VENDORS: A TWO-STAGE MODEL

A Study of the Factors that Influence the Acceptance of e-commerce in Developing Countries:

Investigation The Effectiveness Of Customer Relationship Management Factors In Isfahan Tourism And Travel Agencies

Project Proposal Seminar Thesis

APPLYING THE TECHNOLOGY ACCEPTANCE MODEL AND FLOW THEORY TO ONLINE E-LEARNING USERS ACCEPTANCE BEHAVIOR

Designing Effective Web Sites: How Academic Research Influences Practice

A CRM Adoption Model for Malaysian Telecommunication and Finance Companies

User Behaviour on Google Search Engine

Examining the Marketing - Sales Relationships and its Implications for Business Performance

INITIAL TRUST, PERCEIVED RISK, AND THE ADOPTION OF INTERNET BANKING

An Empirical Study on the e-crm Performance Influence Model for Service Sectors in Taiwan

FACULTY OF COMMERCE DEPARTMENT OF MARKETING

Online Organizational Attraction: Influence of Organizational Social Information, Human Resource Policies and Website Characteristics

Gaining Insight into Membership Strategy: Competitive Advantage by Shaping Institutions

Customers Acceptance of Online Shopping In Saudi Arabia

MASTER'S THESIS. Factors Influencing Adoption of Online Ticketing

What Keeps Online Customers Repurchasing through the Internet?

Statement for the Record. On Behalf of the AMERICAN BANKERS ASSOCIATION. Before the. Antitrust Tax Force. Committee on the Judiciary

Benefits Realization from IS & IT, and Change Management of roles and the working practices of individuals and teams.

A STUDY ON CONSUMER BEHAVIOUR TOWARDS ONLINE SHOPPING IN COIMBATORE DISTRICT

USING MULTIPLE GROUP STRUCTURAL MODEL FOR TESTING DIFFERENCES IN ABSORPTIVE AND INNOVATIVE CAPABILITIES BETWEEN LARGE AND MEDIUM SIZED FIRMS

EXAMINING STUDENTS ACCEPTANCE OF TABLET PC USING TAM

Application of the Theory of Reasoned Action to On-line Shopping

Modern Sociological Theory 7,5 ECTS credits

November. Summary: Global Payments

Diffusion of Electronic Stores: A Comparison Between Taiwan and the United States

Determinants of Internet Entrepreneurship Intentions among Business School Students

Evaluating the Critical success factors of strategic customer relationship management (SCRM) in textile industry (with Fuzzy Approach)

PREDICTING ACCEPTANCE OF ELECTRONIC MEDICAL RECORDS: WHAT FACTORS MATTER MOST?

E-retailing Project. E-retailing - An Exciting Opportunity for the Logistics Sector

Chapter: IV. IV: Research Methodology. Research Methodology

Propensity for Innovation Adoption : Integration of Structural Contingency and Resource Dependence Perspectives

Keywords: Information Technology, Supply Chain Management, Performance Improvement, Competitive Situation, Turkish and Iran Air Airlines

DEVELOPING AN EXTENDED TECHNOLOGY ACCEPTANCE MODEL: DOCTORS ACCEPTANCE OF ELECTRONIC MEDICAL RECORDS IN JORDAN

ROLE OF ORGANIZATIONAL CULTURE ON PROJECT SUCCESS

Factors affecting the Satisfaction of China s Mobile Services Industry Customer. Su-Chao Chang a, Chi-Min Chou a, *

Understanding college students continuing intentions to use multimedia e-learning systems

Contextual factors that influence learning effectiveness: Hospitality students perspectives

Enterprise Resource Planning Global Opportunities & Challenges. Preface

EVALUATION OF FACTORS PREDICTING ACADEMIC STAFF ACCEPTANCE OF E-LEARNING AT THE CENTRE FOR DISTANCE LEARNING, UNIVERSITY OF MAIDUGURI, NIGERIA

EMPLOYEES ADOPTION OF E-PROCUREMENT SYSTEM: AN EMPIRICAL STUDY

Factors Affecting the Adoption of Online Banking An Integration of Technology Acceptance Model and Theory of Planned Behavior

Evaluating the Factors Affecting on Intension to Use of E-Recruitment

TRUST AND USER ACCEPTANCE OF MOBILE ADVERTISING

Essentials of Management Information Systems

COURSE SPECIFICATION DOCUMENT. Business and Economics. Masters of Business Administration. Dr Parviz Dabir-Alai

E-tailing: Analysis of Customer Preferences towards Online Shopping in Pune Region

Transcription:

EFFECTS OF ENVIRONMENTAL CONDITIONS ON BUSINESS SCHOOLS INTENTIONS TO OFFER E-COMMERCE DEGREE PROGRAMS Dharam S. Rana College of Business Jackson State University E-mail: dsrana@jsums.edu Phone: 601-979-2973 Jean Baptiste K. Dodor College of Business Jackson State University E-mail: jeandodor@yahoo.com Phone: 601-354-1964 Palaniappan Thiagaranjan College of Business Jackson State University E-mail: tpal2@yahoo.com Phone: 601-979-1265 ABSTRACT Innovation diffusion literature, due to certain volitional control assumption, focused more on intra-organizational factors to the detriment of inter-organizations environmental conditions. Recently however, that trend has been fortunately changing with Teo et al. (2003), who used institutional pressures to predict organizations intentions to adopt inter-organizational linkages. In the current study, we tried to go beyond Teo et al. (2003) to use, in addition to institutional pressures, competitive pressures and resource dependence to investigate business schools intentions to offer electronic commerce degree programs (ECDP). Preliminary results indicated that environmental conditions constitute significant determinants of sampled schools intentions to offer ECDP. Background of the Research INTRODUCTION E-Commerce is a new way of doing business that continues to expand rapidly worldwide. Since it began in the mid 1990s, E-Commerce has grown in the United States alone from a standing start to a $172 billion retail business and a $1.5 trillion business-to-business juggernaut in 2005 1

(Laudon and Traver, 2007). Beyond the USA, E-Commerce is growing also fast in Japan, China, Brazil, India, and Europe. Laudon and Traver (2007), therefore, predict that E-Commerce will eventually influence nearly all commerce, or that most commerce will take the form of Electronic Commerce by year 2050. Purpose of the Research Given the future prospects of E-Commerce, a question can be asked as to whether educational organizations intend to offer Electronic Commerce Degree Programs (ECDP). In the current paper, we tried to answer that question using established environmental theories: institutional, population ecology and resource dependence theories. Concept of Electronic Commerce Defined The concept Electronic Commerce has been defined in various ways in the literature. For example, Lawrence et al. (1998, p.2) defined electronic commerce as the buying and selling of information, products and services via computer networks, using any one of the myriad of networks that will make up the Internet. However, electronic commerce is not only about buying and selling ; it is about a much wider phenomenon. Turban et al. (2000, p.5) introduced the word exchanging to include more activities under the scope of E-Commerce. Further, researchers at the Australian National Office of Information Economy (1999, p.60) have argued that electronic commerce may include all intra-company and inter-company functions. This latter conception of electronic commerce is consistent with the broad and inclusive definition of the European Commission as any form of business transaction in which the parties interact electronically rather than by physical exchanges or contacts. Thus, we use the concept E- Commerce to refer to any form of business transaction in which the parties interact electronically rather than by physical exchanges or contacts. Concept of Environment Defined There exist several types of environment: task environment, social environment and physical natural environment. The focus in this study is on organizations task environment. The task environment is the environment in which organizations conduct their normal businesses. In other words, the task environment is the operation domain where an organization draws the majority of its customers and in which the majority of the dealers it considers to be its competitors are located (Achrol & Stern, 1988, p. 40). The social environment refers to the intra-organization climate in which people work together. The social environment is shaped by not only the people who work in the organization but also by the ergonomic aspect of the work place. The natural environment corresponds to the ecological environment, over which organizations do barely have control. In the current study, we use environment to refer only to the task or business environment. 2

HYPOTHESES DEVELOPMENT Research on organizations intentions about innovations has been conducted essentially from intra-organizations behavioral perspective, using such theoretical frameworks like the theory of reasoned action (Fishbein and Ajzen, 1975), the diffusion of innovations (Rogers, 1983), the technology acceptance model (Davis, 1986), or the theory of planned behavior (Ajzen, 1985, 1991). Despite strong insights into the interplay between organizations and their environments (Lawrence and March, 1967; Thompson, 1967; Hannan and Freeman, 1977; Meyer and Rowan, 1977; Pfeffer and Salancik, 1978), the inter-organizations environmental perspective has been neglected for a long time. Only very few prior studies have used environmental theory-based variables to investigate organizations intentions about innovations. Teo et al. (2003) utilized institutional factors to predict organizations intentions to adopt inter-organizational linkages, while Berrett and Slack (1999) used both competitive and institutional pressures to investigate corporate sponsorship decisions. More recently, Renzulli (2005) investigated the emergence of charter schools in the United States with several environment-based variables; however, he used secondary rather than primary data. This study extends on one hand Berrets and Slack (1999) and Teo et al. (2003) by using three environmental theory-based variables (institutional pressures, competitive pressures, and resource dependence) to investigate business schools intentions to offer Electronic Commerce Degree Program in the United States. On the other hand, it complements Renzulli (2005) by using primary survey data rather than secondary convenient data. The postulated research model is presented below in Figure 1. Figure 1: Hypothesized Model Institutional Pressures H1 Competitive Pressures H2 H3 Schools Environmental Conditions H2 H4 Schools Intention to offer ECDP Resource Dependence 3

Institutional Pressures and Environmental Conditions Institutional theorists (Meyer and Rowan, 1977; DiMaggio and Powell, 1983; Oliver, 1991) postulated that organizations are constrained by external non-competitive factors (social rules, taken-for-granted conventions, norms and practices) that subject them to important institutional pressures. Consistently, we formulate the study s first hypothesis as follows: Hypothesis 1: Institutional pressures will have an impact on a business school s perceived environmental conditions. Competitive Pressures and Environmental conditions It is generally agreed that competitive pressures exert some impact on organizations decision making. Kimberly and Evanisko (1981) argued that competition between firms within the same industry is one of the major environmental factors influencing their decisions to adopt innovations. Porter (1980), population ecologists (Hannan and Freeman, 1977) and Oliver (1991) recognized as well the effects of competitive factors. Bain (1956) suggested that the impact of competition on organizations is particularly observable in highly concentrated organizational populations. Thus, we formulated the following hypothesis: Hypothesis 2: Competitive pressures will impact on a business school s perceived environmental conditions. Resource Dependence and Environmental Conditions According to resource dependence theorists (Pfeffer & Salacik, 1978), organizations are constrained by others who have ownership and/or control needed resources. Therefore organizations decisions making is generally influenced by dependence on providers of resources. Bigelow and Stone (1995) and Schumaker (2002) have previously tested the effects of resource dependence of organizations decisions making. Following them, we expect that resources dependence will determine environmental conditions, which will then predict organizations intentions to act in response to an innovation. Consistently, we posit: Hypothesis 3: Resource dependence will impact on a business school s perceived environmental conditions. Environmental Conditions and Intention Environmental conditions within an organizational population generally affect the intention of individual organization to respond to an innovation. The more favorable are the conditions in the environment, the greater should be the likelihood that organizations be willing to respond to an innovation taking place in their organizational population. Consistently, we posit that: Hypothesis 4: Environmental conditions will impact on Business schools intention to offer electronic degree programs. 4

METHODOLOGY & RESULTS We collected data from a random sample of business schools using a web-based survey method. The survey was posted on the secure server of our university. Potential respondents visiting the survey web site could decide to proceed to complete the questionnaire or to exit. In September 2006, we sent 1156 emails to potential respondents, from which we obtained data about 110 schools, or an overall response rate of 10.52% of the valid targeted population. Measurement Model As shown in Figure 1, the postulated model has five constructs, which have been measured in this study: behavioral intention to act, environmental conditions, institutional pressures to act, competitive pressures to act and resource dependence. The reliabilities of the study s constructs were all above the 0.70 threshold (Nunnally, 1978), which suggests that there was a good internal consistency among the items that comprised the study s constructs. Results for the Structural Equations On the basis of the measurement results, we carried out the analysis of the structural model and tested the postulated hypotheses. All hypothesized paths were significant. In addition to the original hypotheses, we found a strong significant path between resource dependence and schools behavioral intentions and a weak but significant path between competitive pressures and the outcome variable. DISCUSSIONS The overall goodness of fit of the postulated model was reasonable despite a significant Chi- Square, due probably to adverse influences of insufficient sample on model specification. Root Mean Square Error of Approximation (RMSEA) was 0.074, within the reasonable model fit range (Browne and Cudeck, 1992; Hair et al., 1998). Corroborating the reasonable model fit was the 90% confidence interval of the RMSEA, [0.04; 0.11], which fairly fell under the 0.10 ceiling. In addition to the RMSEA, alternative fit statistics were above or very close to the 0.90 threshold (Normed Fit Index = 0.89; Comparative Fit Index = 0.95; Incremental Fit Index = 0.96, and Goodness of Fit Index = 0.92). Thus, it was permissible to rely on the postulated model to interpret and discuss the results for the study s hypotheses. Institutional Pressures: The study s first hypothesis suggested that Institutional pressures will determine a business school s perceived environmental conditions. This hypothesis was supported because the path between institutional pressures and environmental conditions was significant. Further, environmental conditions mediated to some extent the relationship between institutional pressures and intention to act. Competitive Pressures: The study s second hypothesis has stated: competitive pressures will determine a business school s perceived environmental conditions. This hypothesis was supported, as indicated by the significant path between competitive pressures and 5

environmental conditions. In addition, environmental conditions did mediate the relationship between competitive pressures and intention to act. Resources Dependence: The study s third hypothesis posited that: Resources dependence will determine a business school s perceived environmental conditions. This hypothesis was not supported, as its path to environmental conditions failed to be significant. In contrast, the path between resource dependence and intentions to act was strongly significant (β = 0.65). The strong direct effect of resource dependence on intention to act suggests that resource dependence may potentially have unique effect on intentions to act. Environmental conditions: The path between environmental conditions and intentions to act was significant, which constitutes a support for the study s fourth and final hypothesis. CONCLUSION To conclude, our study has contributed to the debate on organizations agency, by enhancing our knowledge of some effects of environmental factors on business schools intentions to offer E- Commerce degree programs. The results provide evidences to indicate that environmental conditions influence business schools intentions to offer electronic commerce degree programs. Consequently, future research may pay more attention to the interplay between interorganizations environmental conditions and organizations intentions about innovations. Key References (Complete references available upon request from Jean Baptiste K. Dodor). Achrol, R.; Stern, L. Environmental Determinants of Decision Making Uncertainty in Marketing Channels. Journal of Marketing Research, 1988, 25, 36-50. Hannan, M.; Freeman, J. The population ecology of organizations. American Journal of Sociology, 1977, 82, 929-964. Laudon, C.; Traver, C. E-Commerce: Business, Technology, Society. Third Edition, NJ: Prentice Hall, 2007. Lawrence, P.; March, J. Organization and Environment. Cambridge, MA: Harvard Graduate School of Business Administration, 1967. Lwrence, E.; Corbitt, B.; Tidwell, A.; Fisher, J. Internet Commerce: Digital Models for Business. John Wiley & Sons, Ltd: Brisbane, 1998. Meyer, J. W., & Rowan, B. Institutionalized organizations: Formal structure as myth and ceremony. American Journal of Sociology, 1977, 83: 340-363. Pfeffer, J., & Salancik, G. R. The external control of organizations: A resource dependence view. New York: Harper & Row, 1978. Renzulli, L. Organizational environments and the emergence of Charter Schools in the United States. Sociology of Education, 2005, 78 (January): pp. 1-26. Teo, H.; Wei, K.; Benbasat, I. Predicting Intention to Adopt Inter-organizational Linkages: An Institutional Perspective. MIS Quarterly, 2003, 27 (1), 19-49. 6