Triss Ashton
@tarleton.edu
Management
Tarleton State Universiyt
RESEARCH, TEACHING, or OTHER INTERESTS
Management Science and Operations Research, Statistics, Probability and Uncertainty
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
David E. Cavazos, Matthew Rutherford, and Triss Ashton
Emerald
Purpose This study aims to examine the implications of short-term and long-term reputation change because of government agency responses to firm product defects. Design/methodology/approach This study’s findings have important implications for both scholars and practitioners. From a scholarly perspective, the authors create a more fine-grained examination of reputation that may be used to assess various performance dimensions. From a practice perspective, managers must realize that reputation can be one of an organization’s most important resources as it meets each of the valuable, rare, inimitable and nonsubstitutable criteria associated with those resources capable of providing sustainable competitive advantage. Findings Analysis of 17,879 product recalls from 15 automobile manufacturers in the US suggests that firms with higher long-term reputations are more likely to face regulator sanctions when a reputation-damaging event happens. On the other hand, firms with higher short-term reputations are less likely to face sanctions in such circumstances. Finally, firms whose short-term reputation exceeds their long-term reputation are less likely to be sanctioned by regulators when reputation-damaging events occur. Research limitations/implications There are several limitations that should be addressed. First, as our reputation measure is based on government investigations of potential defects, vehicles that have never been inspected are not included in the sample. Although this number is likely extremely low, omitting vehicles that have never been inspected leaves out some high-reputation firms from the sample. In addition, the study relies on a single-firm stakeholder that is capable of punitive actions. Practical implications From a practical perspective, this study’s findings encourage managers to think about the temporal aspects associated with firm reputation, and to realize that stakeholders may react differently when their expectations are not met depending on an organization’s relative long- and short-term reputations. From a theoretic perspective, the primary contribution of this study is to illustrate how long-term and short-term changes in reputation can provide mixed signals to firm stakeholders regarding future performance. Originality/value This study explores the temporal aspects of firm reputation by examining how government sanctions vary depending on firms’ long-term (10 years) and short-term (1 year) reputation. The findings of this study contribute to current reputation research by illustrating the variation in government responses to product defects as a function of short-term and long-term reputation. In doing so, the important role of the timing of firm performance is considered.
Joshua J. Daspit, James J. Chrisman, Triss Ashton, and Nicholas Evangelopoulos
SAGE Publications
While progress has been made in recent years to understand the differences among family firms, insights remain fragmented due, in part, to an incomplete understanding of heterogeneity and the scope of differences that exist among family firms. Given this, we offer a definition of and review the literature on family firm heterogeneity. A latent semantic analysis of 781 articles from 33 journals identified nine common themes of family firm heterogeneity. For each theme, we review scholarly progress made and highlight differences among family firms. Additionally, we offer directions for advancing the study of family firm heterogeneity.
Triss Ashton and Victor R. Prybutok
Emerald
Purpose The purpose of this study includes two parts. First, it introduces a machine-based method for model and instrument development and updating that integrates large sample qualitative data. Second, a new model and instrument for e-commerce customer satisfaction are developed. Design/methodology/approach The research occurs in two phases. In Phase 1, data collection occurs with a literature-based quantitative model and instrument that includes at least one qualitative scale item per construct. Data analysis of the resulting data includes factor analysis (FA) and latent semantic analysis text mining to generate an updated model and instrument. In Phase 2, data collection uses the new model and instrument. Data analysis in Phase 2 includes exploratory data analysis with FA, exploratory structural equation modeling and partial least square modeling. Findings As a result of the information gained by the integration of qualitative scales in the literature-based survey, the final model departs substantially from the initial research-based research model. It integrates many of the constructs known to impact a website and software usability from information systems research into a new e-retail satisfaction model. Originality/value The research method, as presented here, offers a strategy for integrating large scale qualitative data for refinement of models and the development of instruments. It is essentially a method of gaining the wisdom of crowds economically while simultaneously reducing the biases and laborious effort commonly associated with qualitative research.
Triss Ashton, Nicholas Evangelopoulos, Audhesh Paswan, Victor R. Prybutok, and Robert Pavur
Informa UK Limited
ABSTRACT There is a surge in the development of decision-oriented analysis tools intended to extract actionable information from text. These tools integrate various text-mining methods that were performance tested in a manner that was often biased toward the new system. Those tests primarily utilised descriptive measurement criteria and test datasets that are inconsistent with most business corpora. We propose and test a user-oriented judgment approach that allows testing under controlled customer-oriented corpora and generates effect size measures. To illustrate the approach, customer relations data was analysed by latent semantic analysis and latent Dirichlet analysis with results evaluated by prospective business analysts. Reporting includes comparisons of results with published literature. While the research centres on the context-region text-mining systems, literature comparisons include word-embedding methods. The analysis concludes that none of the systems reviewed possess a repeatable statistical advantage over the others. Instead, distribution attributes, algorithm configuration, and the evaluation task drive results.
Triss Ashton, Nicholas Evangelopoulos, and Victor R. Prybutok
Springer Science and Business Media LLC
Triss Ashton, Nicholas Evangelopoulos, and Victor Prybutok
Springer Science and Business Media LLC
Triss Ashton, Nicholas Evangelopoulos, and Victor R. Prybutok
Inderscience Publishers
This paper examines the use of variable control charts with data that originates in text form and uses factors extracted from the text by latent semantic analysis. We demonstrate how text data from customer comments is analysed as well as the steps necessary to visualise the extracted factors on an Exponentially Weighted Moving Average (EWMA) chart. We also show how the factors correspond to latent service related issues and how using the EWMA chart to monitor those factors allows for addressing and improving service quality issues. We also review issues in text mining and suggest areas for future research.