Lou E. Pelton

Dr. Lou E. Pelton


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 July 2009 in Journal of Business Research
Verified
Journal Article
Closed access
DSDheeraj Sharma
Dheeraj Sharma
BABruce L. Alford
Bruce L. Alford
SBShahid N. Bhuian
Shahid N. Bhuian
LPLou E. Pelton
Lou E. Pelton

16 July 2013 in Journal of Marketing Channels
Verified
Journal Article
Closed access
LPLou E. Pelton
Lou E. Pelton
Over 25 years ago, Bartels ( 1988 Bartels , R. ( 1988 ). The history of marketing thought () , 3rd ed. . Columbus , OH : Publishing Horizons . [Google Scholar] ) deftly chronicled the history of marketing thought, reifying the inextricable linkage between distributive sciences, utility creation, and marketing practices. The earliest writings in marketing charted the physical movement of goods through the distribution system. There existed misconceptions of channel members, compelling justification of their role sets in creating efficiencies and utilities that delivered value to customers. Bartels ( 1988 Bartels , R. ( 1988 ). The history of marketing thought () , 3rd ed. . Columbus , OH : Publishing Horizons . [Google Scholar] ) noted that attributions of intermediaries as “parasitic” and vendors as “ruthless” coincided with widespread fallacies about marketing (p. 29). Cast against this societal mistrust, the Journal of Marketing Channels debuted. The first issue departed from the purely economic functionality that subjugated a broadened theoretical foundation for understanding distribution, embracing Alderson's call for inter-disciplinary approaches. The present effort discusses Habermas' critical social theory (CST). CST posits that the emancipatory function of marketing channels knowledge is to rebuff the dualistic divide between marketing channels theory and market realities. The transformative shifts in marketing channels suggest CST is useful for broadening marketing channels education, research, and practice.

29 May 2024 in Information
Verified
Journal Article
Open access
PDF file
AMAmit Malhan
Amit Malhan
RPRobert J Pavur
Robert J Pavur
LPLou E. Pelton
Lou E. Pelton
AHAva Hajian
Ava Hajian
This paper provides empirical evidence using two studies to explain the primary factors facilitating electronic health record (EHR) systems adoption through the lens of the resource advantage theory. We aim to address the following research questions: What are the main organizational antecedents of EHR implementation? What is the role of monitoring in EHR system implementation? What are the current themes and people’s attitudes toward EHR systems? This paper includes two empirical studies. Study 1 presents a research model based on data collected from four different archival datasets. Drawing upon the resource advantage theory, this paper uses archival data from 200 Texas hospitals, thus mitigating potential response bias and enhancing the validity of the findings. Study 2 includes a text analysis of 5154 textual data, sentiment analysis, and topic modeling. Study 1’s findings reveal that joint ventures and ownership are the two main enablers of adopting EHR systems in 200 Texas hospitals. Moreover, the results offer a moderating role of monitoring in strengthening the relationship between joint-venture capability and the implementation of EHR systems. Study 2’s results indicate a positive attitude toward EHR systems. The U.S. was unique in the sample due to its slower adoption of EHR systems than other developed countries. Physician burnout also emerged as a significant concern in the context of EHR adoption. Topic modeling identified three themes: training, healthcare interoperability, and organizational barriers. In a multimethod design, this paper contributes to prior work by offering two new EHR antecedents: hospital ownership and joint-venture capability. Moreover, this paper suggests that the monitoring mechanism moderates the adoption of EHR systems in Texas hospitals. Moreover, this paper contributes to prior EHR works by performing text analysis of textual data to carry out sentiment analysis and topic modeling.

1 January 2016
Verified
Book Chapter
Closed access
PDF file
MZMel F. Zuberi
Mel F. Zuberi
LPLou E. Pelton
Lou E. Pelton