Factors Influence the Use of E-Promotion Means in Jordanian Business Organization

This study will examine the encouraging and discouraging factors for the use of promotion means. In order to reach the objectives of this study, a model has been developed that includes many dimensions for the encouraging and discouraging factors: e-promotion means, perceived usefulness and acceptable use of epromotion means.The factors have been identified, according to the initial survey which included (36) different organizations. The percentage of those who use the e-promotion media for their products was 69%, while 31% are still using the traditional promotion means. The five dimensions included in the study's model had five corresponding hypotheses and with each dimension having a traditional hypotheses. In addition to these five hypotheses, there were another two hypotheses; one which includes knowing the correlation between the components of the study's model and the last hypothesis concerning knowing if there are any differences between the three business organizations in the study sample (service, industrial, commerce). Thus, the seven hypotheses have been developed for this study. In order to collect the required data to examine the hypotheses and reach a conclusion, a questionnaire consisting of (22) questions covering the dimension and hypotheses of the study were applied. The design and development of this questionnaire are based on an initial pretested survey distributed to the organization. The information was collected from a sample of (212) global business organizations (service, industrial, commerce) in Jordan – Amman , all hypotheses have been proven except the seventh hypothesis which indicates minor differences between the views of the organizations on the usage of e-promotion media and at the same time there is a correlation relationship with moral indicative between the different components of the study's model.

[1]  Girish H. Subramanian,et al.  A Replication of Perceived Usefulness and Perceived Ease of Use Measurement , 1994 .

[2]  B. Reeves,et al.  Social cognition and mass communication research , 1982 .

[3]  Alex Wang,et al.  When Synergy in Marketing Communication Online Enhances Audience Response: The Effects of Varying Advertising and Product Publicity Messages , 2006, Journal of Advertising Research.

[4]  Paul Dwyer,et al.  Building Trust with Corporate Blogs , 2007, ICWSM.

[5]  Petrus Guriting,et al.  Borneo online banking: evaluating customer perceptions and behavioural intention , 2006 .

[6]  S. Laforet,et al.  CONSUMERS’ ATTITUDES TOWARDS ONLINE AND MOBILE BANKING IN CHINA , 2005 .

[7]  Fred D. Davis User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

[8]  T. Bhatti,et al.  Journal of Internet Banking and Commerce , 2022 .

[9]  M. Ewing,et al.  Practitioner prognostications on the future of online marketing , 2010 .

[10]  Naresh K. Malhotra,et al.  Marketing Research: An Applied Orientation , 1993 .

[11]  Rudaina Othman Yousif,et al.  Measuring Individual Attitude towards Arabic-Speaking TV Channels and the Impact of These Channels on Current Events , 2012 .

[12]  Acatrinei Carmen,et al.  A QUALITATIVE RESEARCH REGARDING THE MARKETING COMMUNICATION TOOLS USED IN THE ONLINE ENVIRONMENT , 2011 .

[13]  Kent Eriksson,et al.  Customer acceptance of internet banking in Estonia , 2005 .

[14]  Gordon B. Davis,et al.  Testing the Determinants of Microcomputer Usage via a Structural Equation Model , 1995, J. Manag. Inf. Syst..

[15]  P. Kollock The Production of Trust in Online Markets , 1999 .

[16]  Henry C. Lucas,et al.  Technology Use and Performance: A Field Study of Broker Workstations* , 1999 .

[17]  Vichuda Nui Polatoglu,et al.  An empirical investigation of the Turkish consumers’ acceptance of Internet banking services , 2001 .

[18]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[19]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[20]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[21]  Robert C. Blattberg,et al.  Interactive Marketing: Exploiting the Age of Addressability , 1991 .

[22]  Evert Gummesson,et al.  Total Relationship Marketing , 1999 .