scholarly journals Investigating the Key Factors Influencing on Management Information Systems Adoption among Telecommunication Companies in Yemen: The Conceptual Framework Development

2015 ◽  
Vol 6 (1) ◽  
pp. 59-68 ◽  
Author(s):  
Yaser Hasan Al-Mamary ◽  
Alina Shamsuddin ◽  
Nor Aziati
Keyword(s):  
Information Systems ◽  
Conceptual Framework ◽  
Management Information Systems ◽  
Key Factors ◽  
Management Information ◽  
Information Systems Adoption ◽  
Factors Influencing ◽  
Telecommunication Companies ◽  
Framework Development

scholarly journals Three layers of abstraction: a conceptual framework for theorizing digital multi-sided platforms

2021 ◽  
Author(s):  
Martin Poniatowski ◽  
Hedda Lüttenberg ◽  
Daniel Beverungen ◽  
Dennis Kundisch
Keyword(s):  
Information Systems ◽  
Literature Review ◽  
Competitive Advantage ◽  
Conceptual Framework ◽  
Management Information Systems ◽  
Boundary Spanning ◽  
Academic Disciplines ◽  
Sustainable Competitive Advantage ◽  
Management Information ◽  
Point Of Reference

AbstractThe digital economy has brought about multi-sided platforms as superior configurations for value co-creation. However, the academic discourse on platforms is scattered across academic disciplines—including management, information systems, and economics. Based on a systematic literature review of 140 papers from nine disciplines, we inductively develop a framework that provides a conceptual point of reference for conducting boundary-spanning research on digital multi-sided platforms. Systematizing the identified concepts, we introduce three layers of abstraction: conceptualizing platforms as information systems, as systems for actor engagement, or as ecosystems. Our framework conceptualizes digital multi-sided platforms as nested hierarchies of systems that are shaped by, and in interaction with, their environment. This view focuses on designing IT artifacts, governance mechanisms, and strategies for platforms in terms of how they interact with their environment. Practitioners can use our insights to analyze, design, and manage platforms aimed at establishing a sustainable competitive advantage.

scholarly journals The competitive productivity (CP) of tourism destinations: an integrative conceptual framework and a reflection on big data and analytics

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcello Mariani ◽  
Stefano Bresciani ◽  
Giovanni Battista Dagnino
Keyword(s):  
Big Data ◽  
Information Systems ◽  
Conceptual Framework ◽  
Business Intelligence ◽  
Management Information Systems ◽  
Management Information ◽  
Tourism Destination ◽  
Content Type ◽  
Systems Research ◽  
Tourism Destinations

Purpose The purpose of this study is twofold. First, this study elaborates an integrative conceptual framework of tourism destination competitive productivity (TDCP) by blending established destination competitiveness frameworks, the competitive productivity (CP) framework and studies pertaining to big data and big data analytics (BDA) within destination management information systems and smart tourism destinations. Second, this study examines the drivers of TDCP in the context of the ongoing 4th industrial revolution by conceptualizing the destination business intelligence unit (DBIU) as a platform able to create sustained destination business intelligence under the guise of BDA, useful to support destination managers to achieve the tourism destination’s economic objectives. Design/methodology/approach In this work, the authors leverage both extant literature (under the guise of research on CP, tourism destination competitiveness [TDC] and destination management information systems) and empirical work (in the form of interviews and field work involving destination managers and chief executive officers of destination management organizations and convention bureaus, as well as secondary data) to elaborate, develop and present an integrative conceptual framework of TDCP. Findings The integrative conceptual framework of TDCP elaborated has been found helpful by a number of destination managers trying to understand how to effectively and efficiently manage and market a tourism destination in today’s fast-paced, digital and hypercompetitive environment. While DBIUs are at different stages of implementation, often as part of broader smart destination initiatives, it appears that they are increasingly fulfilling the purpose of creating sustained destination business intelligence by means of BDA to help tourism destinations achieve their economic goals. Research limitations/implications This work bears several practical implications for tourism policymakers, destination managers and marketers, technology developers, as well as tourism and hospitality firms and practitioners. Tourism policymakers could embed TDCP into tourism and economic policies, and destination managers and marketers might build and make use of platforms such as the proposed DBIU. Technology developers need to understand that designing destination management information systems in general and more specifically DBIUs requires an in-depth analysis of the stakeholders that are going to contribute, share, control and use BDA. Originality/value To the best of the authors’ knowledge, this study constitutes the first attempt to integrate the CP, TDC and destination management information systems research streams to elaborate an integrative conceptual framework of TDCP. Second, the authors contribute to the Industry 4.0 research stream by examining the drivers of tourism destination CP in the context of the ongoing 4th industrial revolution. Third, the authors contribute to the destination management information systems research stream by introducing and conceptualizing the DBIU and the related sustained destination business intelligence.

Trust in Management Information Systems (MIS)

2020 ◽  
Vol 64 (1) ◽  
pp. 6-16 ◽  
Author(s):  
Sarah M. Meeßen ◽  
Meinald T. Thielsch ◽  
Guido Hertel
Keyword(s):  
Information Systems ◽  
Information Overload ◽  
Management Information Systems ◽  
Empirical Work ◽  
Future Research ◽  
Management Information ◽  
Trust In Management ◽  
Actual Use ◽  
Trust In Technology ◽  
The Internet Of Things

Abstract. Digitalization, enhanced storage capacities, and the Internet of Things increase the volume of data in modern organizations. To process and make use of these data and to avoid information overload, management information systems (MIS) are introduced that collect, process, and analyze relevant data. However, a precondition for the application of MIS is that users trust them. Extending accounts of trust in automation and trust in technology, we introduce a new model of trust in MIS that addresses the conceptual ambiguities of existing conceptualizations of trust and integrates initial empirical work in this field. In doing so, we differentiate between perceived trustworthiness of an MIS, experienced trust in an MIS, intentions to use an MIS, and actual use of an MIS. Moreover, we consider users’ perceived risks and contextual factors (e. g., autonomy at work) as moderators. The introduced model offers guidelines for future research and initial suggestions to foster trust-based MIS use.

Sign in / Sign up

Export Citation Format

Share Document