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Article
Publication date: 18 April 2008

Peter Buxmann, Anette von Ahsen and Luis Martín Díaz

The purpose of this research is to examine economic approaches to evaluate different cooperation scenarios in the context of Supply Chain Management.

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1220

Abstract

Purpose

The purpose of this research is to examine economic approaches to evaluate different cooperation scenarios in the context of Supply Chain Management.

Design/methodology/approach

The value of different cooperative scenarios is analyzed in the fields of procurement and distribution planning using an analytical approach as well as simulation runs.

Findings

On the basis of the framework of Wyner and Malone coordination mechanism in the field of Supply Chain Management was examined. Using an analytical approach as well as simulation runs it can be shown that the centralized coordination scenarios usually lead to superior results compared with different decentralized approaches in the field of procurement planning and distribution planning.

Originality/value

Empirical data show that the difficulty in quantifying cooperation benefits is the main reason for not to implementing inter‐organizational software solutions such as Supply Chain Management software. Therefore, a prototype is developed to quantify the value of cooperation in the fields of procurement planning and distribution planning.

Details

Journal of Enterprise Information Management, vol. 21 no. 3
Type: Research Article
ISSN: 1741-0398

Keywords

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Article
Publication date: 18 April 2008

Zahir Irani and Ahmad Ghoneim

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48

Abstract

Details

Journal of Enterprise Information Management, vol. 21 no. 3
Type: Research Article
ISSN: 1741-0398

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Book part
Publication date: 4 December 2020

Abdelkebir Sahid, Yassine Maleh and Mustapha Belaissaoui

Abstract

Details

Strategic Information System Agility: From Theory to Practices
Type: Book
ISBN: 978-1-80043-811-8

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Article
Publication date: 30 April 2021

Patrick Bedué and Albrecht Fritzsche

Artificial intelligence (AI) fosters economic growth and opens up new directions for innovation. However, the diffusion of AI proceeds very slowly and falls behind…

Abstract

Purpose

Artificial intelligence (AI) fosters economic growth and opens up new directions for innovation. However, the diffusion of AI proceeds very slowly and falls behind, especially in comparison to other technologies. An important path leading to better adoption rates identified is trust-building. Particular requirements for trust and their relevance for AI adoption are currently insufficiently addressed.

Design/methodology/approach

To close this gap, the authors follow a qualitative approach, drawing on the extended valence framework by assessing semi-structured interviews with experts from various companies.

Findings

The authors contribute to research by finding several subcategories for the three main trust dimensions ability, integrity and benevolence, thereby revealing fundamental differences for building trust in AI compared to more traditional technologies. In particular, the authors find access to knowledge, transparency, explainability, certification, as well as self-imposed standards and guidelines to be important factors that increase overall trust in AI.

Originality/value

The results show how the valence framework needs to be elaborated to become applicable to the AI context and provide further structural orientation to better understand AI adoption intentions. This may help decision-makers to identify further requirements or strategies to increase overall trust in their AI products, creating competitive and operational advantage.

Details

Journal of Enterprise Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 2 March 2015

Peter Ekman

This paper aims to analyse how well enterprise systems capture the business network in which an industrial company is involved. Enterprise systems have been presented as a…

Abstract

Purpose

This paper aims to analyse how well enterprise systems capture the business network in which an industrial company is involved. Enterprise systems have been presented as a “dream come true” with a seamless integration of business data through a common database and software modules that can be customized to the companies’ different functions. However, research shows that companies’ utilization of enterprise systems is limited, and that internal processes are prioritized.

Design/methodology/approach

European multinational companies and some of their partners have been followed through case studies between 2003 and 2010. The pattern-matching analysis has been supported by a theoretical framework that depicts industrial companies as engaged in business relationships in a network setting.

Findings

The results show that the company’s relationship-oriented activities are badly captured by the enterprise system. The study highlights limitations that future enterprise systems need to address if they are to be able to offer the company a better insight into its business network.

Originality/value

The traditionally internal focus on enterprise systems means that important business information transcending inter-organizational activities will be missed. To be worthy of the name enterprise system, more customer- and supplier-oriented activities need to be supported and captured.

Details

Journal of Business & Industrial Marketing, vol. 30 no. 2
Type: Research Article
ISSN: 0885-8624

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Article
Publication date: 8 July 2014

S. Sudhindra, L.S. Ganesh and K. Arshinder

The purpose of the article is to create a knowledge classification model that can be used by knowledge management (KM) practitioners for establishing a knowledge…

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1101

Abstract

Purpose

The purpose of the article is to create a knowledge classification model that can be used by knowledge management (KM) practitioners for establishing a knowledge management framework (KMF) in a supply chain (SC) network. Epistemological and ontological aspects of knowledge have been examined. SC networks provide a more generic setting for managing knowledge due to the additional issues concerning flow of knowledge across the boundaries of organizations.

Design/methodology/approach

Morphological analysis has been used to build the knowledge classification model. Morphological approach is particularly useful in exploratory research on concepts/entities having multiple dimensions. Knowledge itself has been shown in literature to have many characteristics, and the methodology used has enabled a comprehensive classification scheme based on such characteristics.

Findings

A single comprehensive classification model for knowledge that exists in SC networks has been proposed. Nine characteristics, each possessing two or more value options, have been finally included in the model.

Research limitations/implications

Knowledge characteristics have been mostly derived from past research with the exception of three which have been introduced without empirical evidence. Although the article is primarily about SC knowledge, the results are fairly generic.

Practical implications

The proposed model would be of use in developing KM policies, procedures and establishing knowledge management systems in SC networks. The model will cater to both system and people aspects of a KMF.

Originality/value

The proposed knowledge classification model based on morphological analysis fills a gap in a vital area of research in KM as well as SC management. No similar classification model of knowledge with all its dimensions has been found in literature.

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Article
Publication date: 14 November 2016

Damir Janßen-Tapken and Andreas Pfnür

The purpose of this study is to find answers to the question whether a fully-integrated real estate (RE) solution within an Enterprise Resource Planning (ERP) landscape…

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1125

Abstract

Purpose

The purpose of this study is to find answers to the question whether a fully-integrated real estate (RE) solution within an Enterprise Resource Planning (ERP) landscape delivers a visible and measurable contribution to organizational efficiency in corporate real estate management (CREM), a field still dominated by specialized, but stand-alone software packages.

Design/methodology/approach

The authors set up a model of CREM with the enterprise resource planning (ERP) systems being the hinge between the RE strategies and organizational efficiency. The model was tested by a written questionnaire to respond on the benefit expectations on ERP benefits.

Findings

In many cases, the results show a negative gap between expectations and realized benefits. The authors identified benefit stars and dogs within the sample. Stars realizing high benefit ratios on average have more often chosen the form of a shared service center for their CREM department, have reengineered the business processes more intensively, had more often a legacy system as a predecessor of the SAP ERP, trained employees more intensively and showed a higher degree of customization of the RE module than the benefit dogs of the sample.

Practical implications

Newly formed CREM departments looking for optimal IT solutions find decision support regarding the best fit for their IT landscape. Already institutionalized CREM units running an ERP system will find concrete evidence for improvement.

Originality/value

This is the first study of benefits and critical success factors of ERP implementation and operation for modern CREM. It is the attempt to bridge the gap between business and IT, showing the enabler role of ERP systems for efficient business processes, satisfied corporate users and motivated employees.

Details

Journal of Corporate Real Estate, vol. 18 no. 4
Type: Research Article
ISSN: 1463-001X

Keywords

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Article
Publication date: 7 August 2018

A.K.M. Najmul Islam, Matti Mäntymäki and Izak Benbasat

Self-promotion on social networking sites (SNSs) is a controversial issue as it has been attributed to various positive and negative consequences. To better understand the…

Abstract

Purpose

Self-promotion on social networking sites (SNSs) is a controversial issue as it has been attributed to various positive and negative consequences. To better understand the reasons for the mixed consequences and the nature of self-promotion on SNSs, the purpose of this paper is to theorize and empirically investigate the duality of SNS self-promotion and its underlying socio-psychological mechanisms.

Design/methodology/approach

By drawing on the motivational affordance lens and self-determination theory, this study develops a theoretical account of the duality of self-promotion on SNSs. The author places subjective vitality and SNS addiction as the positive and negative consequences of self-promotion. The model was tested using partial least squares technique with data collected from 289 Finnish Facebook users using a survey.

Findings

The results show that self-promotion contributes to both subjective vitality and to SNS addiction. Importantly, exhibitionism attenuates the effect of self-promotion on subjective vitality and amplifies the effect of self-promotion on SNS addiction. The feature-level analysis shows that status updates, adding photos, commenting in others’ posts and profile completeness are the main determinants of self-promotion. Status updates, adding photos and check-ins, in turn, have high exhibitionistic appeal.

Originality/value

To date, the empirical attempts to investigate the duality of SNS use have been rare. In particular, prior research is largely silent in explaining what tilt the outcomes of self-promotion either toward positive or negative direction. The paper fills this theoretical and empirical gap and thus contributes to literature on dualities of SNS use.

Details

Information Technology & People, vol. 32 no. 2
Type: Research Article
ISSN: 0959-3845

Keywords

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Article
Publication date: 8 January 2019

Ricardo Martins, Tiago Oliveira, Manoj Thomas and Sara Tomás

Although studies have investigated reasons for software as a service (SaaS) adoption, it is unclear how firm-level SaaS use impacts future SaaS intentions. The purpose of…

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1026

Abstract

Purpose

Although studies have investigated reasons for software as a service (SaaS) adoption, it is unclear how firm-level SaaS use impacts future SaaS intentions. The purpose of this paper is to propose a theoretical model that integrates the technology-organization-environment framework, institutional theory, diffusion-of-innovation theory and the opportunity-risk framework to analyze the drivers of SaaS use and its continuance intention.

Design/methodology/approach

The authors evaluated the direct, moderating and mediating effects of determinants on SaaS continuance intentions using structural equation modeling and data from 301 firms.

Findings

Results found that top management support and normative pressures influenced SaaS use. Cost saving and security concerns were direct predictors of perceived opportunities and perceived risks, respectively. Perceived opportunities and risks and actual SaaS use influenced SaaS continuance. Interestingly, perceived opportunities were found to be a negative moderator on the relationship between SaaS use and SaaS continuance.

Originality/value

The results reveal insightful and controversial findings for SaaS research.

Details

Information Technology & People, vol. 32 no. 1
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 1 September 2021

Ruihe Yan, Kem Zikun Zhang and Xiang Gong

Listing popularity indicates the public’s interest in a listing on peer-to-peer (P2P) accommodation platforms. Although listing popularity is crucial to the survival and…

Abstract

Purpose

Listing popularity indicates the public’s interest in a listing on peer-to-peer (P2P) accommodation platforms. Although listing popularity is crucial to the survival and development of the P2P accommodation platform, this issue has received limited attention in the tourism management discipline. Drawing upon the heuristic-systematic model and uncertainty reduction theory, this study aims to examine the impacts of host and property attributes on listing popularity.

Design/methodology/approach

The model was empirically validated using a data set of 6,828 listings on a popular P2P accommodation platform called Airbnb. This study chooses a hierarchical regression analysis to perform the model validation.

Findings

The findings reveal that host self-disclosure, host reputation and host identity verification are key host attributes in promoting listing popularity. Meanwhile, property visual description, property photo verification and property visual appeal are important property attributes in facilitating listing popularity.

Research limitations/implications

The study adds useful insights on understanding on determinants of listing popularity. Future researchers are recommended to empirically verify the underlying psychological mechanism by which host attributes and property attributes influence listing popularity.

Practical implications

The P2P accommodation platform should promote the listing popularity by taking advantage of the host attributes and providing property attributes.

Originality/value

First, to the best of the authors’ knowledge, this study is one of the few studies to explore the formation of the listing popularity. Second, this study examines how the host and property attributes promote the listing popularity through the heuristic and systematic information processing modes.

Details

International Journal of Contemporary Hospitality Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-6119

Keywords

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