Analysing cooperatives’ digital maturity using a synthetic indicator

2023 | International Journal of Information Management | Citations: 0

Authors: Ribeiro-Navarrete, Belén; Martín Martín, José María; Guaita-Martínez, José Manuel; Simón-Moya, Virginia

Abstract: A company’s digitalisation journey spans multiple dimensions and processes. Howe ... Expand

Abstract: A company’s digitalisation journey spans multiple dimensions and processes. However, studies of digital maturity have focused only on certain parts of the process. This study presents a method capable of fully capturing a company’s level of digital maturity. A DP2 indicator of digital maturity was constructed. This in­ dicator is based on responses to a company survey of digitalisation in different business areas and processes. Companies with the highest degree of digitalisation are the oldest and largest (most employees). Differences between companies and sectors can be explained by the level of digitalisation in terms of digital management intensity, departmental agility and digital orientation. Collapse

Topics: IS maturity mobile system IS management innovation management cloud computing

Methods: survey field study literature study descriptive statistic linear regression analysis

The Effect of User Adaptation on the Effective Use of Enterprise Systems

2015 | International Conference on Information Systems | Citations: 7

Authors: Haake, Phillip; Maedche, Alexander; Mueller, Benjamin; Lauterbach, Jens

Abstract: Most of the cost of information system implementation projects is attributable t ... Expand

Abstract: Most of the cost of information system implementation projects is attributable to the post-adaptation phase. Thus, an effective use of the implemented system is necessary to justify the expense. It has been theorized that user adaptation can help to increase the level of effective use of a system. Changes to an enterprise system or to the individual’s tasks with an enterprise system are likely to trigger user adaptation. Yet the effect of user adaptation on effective use of an enterprise system is still widely unknown. We conducted a longitudinal case study to explore the phenomenon and develop a research model to measure the effect of user adaptation on the effective use of an enterprise system. The extension of the nomological network of the concept of effective use by an integration of the effect of user adaptation will be the main contribution of our research. Collapse

Topics: information system use enterprise information system product data management self efficacy user interface

Methods: qualitative interview case study longitudinal research mixed method qualitative coding

Information Services at the Prelaunch Stage of Information Technology Products

2013 | Americas Conference on Information Systems | Citations: 0

Authors: Kim, Junghwan; Jones, Donald R

Abstract: As the development of information technologies (IT) influences consumer behavior ... Expand

Abstract: As the development of information technologies (IT) influences consumer behavior, consumers now search for information and establish their purchase intention earlier in the process. Nonetheless, little research to date has examined how consumers make a decision to purchase a product early in the process, that is, at the prelaunch stage of the product. Delivering the right information at the right time would be important for consumers to evaluate and decide to purchase the products as well as for firms to increase preorder and subsequent sales. Therefore, this study aims to investigate the consumer decision making at the prelaunch stage of IT products, particularly in terms of product-related information and consumers’ decision timing. We propose that the interaction between product-related information and decision timing plays a salient role in affecting consumer decisions (i.e., consumer attraction and preorder purchase intention). Contributions of this paper include (1) a suggested framework extending the timeline of consumer decision making process which have traditionally concerned the decision timing at the initial post-launch stage or repurchase stage, and (2) an understanding of effective product information management for firms to manipulate potential consumers’ purchase decisions in earlier timing. Collapse

Topics: decision making production management product data management

Methods: experiment survey one-way ANOVA theoretical contribution parametric test

Theories: construal level theory