Tag Archives: Walter

Corporate Entrepreneurship, Disruptive Business Model Innovation Adoption, and its Performance: The Case of the Newspaper Industry

Jahangir Karimi, Zhiping Walter
Long Range Planning, Volume 49, Issue 3, Pp. 342–360

Recently, Internet and digitization, along with major news and information companies, have disrupted traditional newspaper companies’ business models, and raised serious concerns about the future viability of the print newspaper industry. This study provides a theoretical viewpoint, supported by empirical evidence from the newspaper industry, on how prominent corporate entrepreneurship attributes impact disruptive business model innovation adoption, and how such adoption impacts business model performance. It finds that, while autonomy, risk-taking, and proactiveness do have positive associations with the extent of adoption of disruptive business model innovation, innovativeness does not. Further, disruptive business model innovation adoption has a nonlinear association with business model performance. We conclude the paper by discussing theoretical implications of the study and by providing strategies that entrepreneurs and technology managers can use to adjust their corporate entrepreneurship activities in their effort to successfully adopt disruptive business model innovation.

The Role of Dynamic Capabilities in Responding to Digital Disruption: A Factor Based Study of the Newspaper Industry

Jahangir Karimi and Zhiping Walter
Journal of Management Information Systems, Volume 32, Issue 1, Pp. 39-81.

Internet and digitization are fundamentally changing and disrupting newspaper companies’ traditional operating models. Disruptive innovation theory offers explanations for why companies succeed or fail to respond to disruptive innovations. This study builds on disruptive innovation theory by ascertaining the role of dynamic capabilities in the performance of response to digital disruption. Empirical results suggest that first-order dynamic capabilities that are created by changing, extending, or adapting a firm’s existing resources, processes, and values are positively associated with building digital platform capabilities, and that these capabilities impact the performance of response to digital disruption. For information systems (IS) researchers, this study clarifies the role of first-order dynamic capabilities in responding to digital disruption. For IS practice, it helps managers to focus on the most promising factors for creating first-order dynamic capabilities, for building digital platform capabilities, and for reinventing their core functions to accelerate digitization.

Physician acceptance of information technologies: Role of perceived threat to professional autonomy

Zhiping Walter, and Melissa Succi Lopez
Decision Support Systems, Vol. 46 Issue 1, p. 206-215

Physician acceptance of clinical information technology (IT) is important for its successful implementation. We propose that perceived threat to professional autonomy is a salient outcome belief affecting physician acceptance of an IT. In addition, level of knowledge codification of an IT is an important technological context affecting physician acceptance. Data from a sample of U.S. physicians were collected to test the hypotheses using partial least squares analysis. Results show that perceived threat to professional autonomy has a significant, negative direct influence on perceived usefulness of an IT and on intention to use that IT. Level of knowledge codification is also an important variable. The effect of perceived threat to professional autonomy is larger for clinical decision support systems than for electronic medical records systems. Awareness of these results would help managers better manage IT implementation in health care settings.

Economics of first-contact email advertising

Gopala, Ram D., Tripathib, Arvind K. & Walter, Zhiping D.
Decision Support Systems Vol. 42 Issue 3, p. 1366-1382

Since the advent of the Internet, email has emerged as an important new form of personal communication. The focus of this research is on commercial advertising through the email channel. We analyze the underlying economics of a business model termed admediation that facilitates effective first-contact email advertising. Admediary is a trusted third party that facilitates a mutually desirable communication between buyers and sellers via email, and operates under the ‘opt-in’ mode widely supported by the consumer advocacy groups. Our analytical model examines the incentive structures for all participating entities, and derives pricing strategies, profit implications and characteristics of the email lists. We develop and model a form of price discrimination we term sequential elimination price discrimination that can be practiced via email. Our results indicate that the transactions facilitated by the admediary can create significant value whereby every participating entity realizes increased benefits. These findings underscore the potential of admediation to restore email as an effective communication media for online advertising.

A framework for data warehouse refresh policies

Michael V. Mannino and Zhiping Walter
Decision Support Systems Vol. 42 Issue 1, p. 121-143

In a field study to explore influences on data warehouse refresh policies, we interviewed data warehouse administrators from 13 organizations about data warehouse details and organizational background. The dominant refresh strategy reported was daily refresh during nonbusiness hours with some deviations due to operational decision making and data source availability. As a result of the study, we developed a framework consisting of short-term and long-term influences of refresh policies along with traditional information system success variables influenced by refresh policies. The framework suggests the need for research about process design, data timeliness valuation, and optimal refresh policy design.

Activity consolidation to improve responsiveness

Rummel, Jeffrey L.; Walter, Zhiping; Dewan, Rajiv; & Seidmann, Abraham
European Journal of Operational Research, Vol. 161 Issue 3, p. 683-703

There is a long history of modeling projects to meet time and cost objectives. Most of these models look at adjusting the level of resources available to the project in order to crash the time required to complete certain activities. These models usually take the activities and the graph structure of the project as given and fixed, but in practice there is often significant discretion in how activities are defined. This is especially important when there are information flows and time delays associated with the hand-off between an activity and its successor. This paper models the choice of how to meet the time and cost objectives through combining multiple activities into one while maintaining the original activity precedence relationships. A mixed-integer linear programming model is developed for the problem, and an implicit enumeration and a tabu search heuristic are tested with a suite of problem examples.

Risk profile and consumer shopping behavior in electronic and traditional channels

Alok Gupta, Bo-chiuan Su and Zhiping Walter
Decision Support Systems Vol. 38, Issue 3, Pages 347-367

This paper develops an economic model that captures consumer shopping channel choices based on shopping channel characteristics and consumer risk profiles – risk-neutral or risk-averse. Analyses of results show that after making purchases through one channel, electronic or traditional, risk-averse consumers tend to be more loyal customers than risk-neutral consumers. Further, the two types of consumers may exhibit split channel behavior – risk-neutral consumers prefer one channel and risk-averse consumers prefer the other. However, risk-neutral consumers are not always more likely to prefer electronic channel than risk-averse consumers. Implications for retailer pricing strategies are discussed.

An Empirical Study of Consumer Switching from Traditional to Electronic Channels: A Purchase-Decision Process Perspective

Gupta, Alok; Bo-chiuan Su and Walter, Zhiping
International Journal of Electronic Commerce Vol. 8 Issue 3, p131-161

This paper examines the relationship between purchase decisions and channel-switching intentions. A theoretical model that explains channel-switching intentions was tested with a sample of 337 consumers. The results show a 52 percent tendency to switch from off-line to on-line across four product categories: books, airline tickets, wine, and stereo systems. The order of the switching tendency was consistent with the products’ search and experience attributes. Logistic regression analysis across product categories shows that differences in channel-risk perceptions, price-search intentions, evaluation effort, and waiting time have a significant impact on consumer switching from off-line to on-line shopping. Consumers who purchase on-line perceive significantly lower channel risk, search effort, evaluation effort, and waiting (delivery) time on-line than off-line and express significantly higher price-search intentions on-line than off-line. Consumers attracted to off-line channels also perceive lower search-cost and higher price-search intentions on-line than off-line, but their perceived on-line search effort and price-search intentions are significantly lower than for consumers attracted to on-line channels. These results support the important influence of the examined factors on channel switching. They also suggest that demographics may not be an effective basis for market segmentation.