Suchergebnisse

Many chain co‐ordinating initiatives fail due to a lack of trust in and resistance against supply chain co‐ordinators, unequally distributed benefits, opposing requirements of involved parties and asymmetric distribution of power. The goal of this paper is to provide insight into factors influencing the successful implementation of a supply chain co‐ordinator. For this purpose, the Electronic Service Center (ESC), a successful, pan‐European chain co‐ordinator based in The Netherlands, is studied. The ESC acts as a central and neutral supply chain co‐ordinator and aims at co‐ordinating the flow of information between customers, logistics carriers, warehouses, forwarders and suppliers. This paper provides a general overview of the roles of supply chain co‐ordinators and provides a short review of factors responsible for failure. It investigates the ESC, describes the supply chain and the various roles of the supply chain co‐ordinator, and discusses the various trade‐offs made by the organisations involved in the supply chain. In the last section conclusions are drawn and recommendations given for future research.

PurposeOrganizations are looking for different ways of sourcing their activities to acquire various benefits. The purpose of this paper is to compare the strategic intents and motives for shared service centres (SSCs), outsourcing and public‐private partnerships (PPPs) using three case studies.Design/methodology/approachThe paper is a combination of literature research and case study research. The case studies are analyzed using a framework for classifying the strategic intents.FindingsA large number of interrelated factors are found as drivers for selecting the various sourcing arrangements. It is found that the strategic intents underlying the decision to implement a PPP, SSC or outsourcing arrangements differ from each other. Outsourcing is mainly used to reduce costs for non‐core activities or to gain access to expertise otherwise out‐of‐reach and, while a shared services arrangement is selected when an organization wants to improve service levels and reduce costs at the same time. Finally, PPPs are focused on developing new and innovative services and seem to accomplish most intents at the expense of higher risks. The intents have relatively subtle differences, compared to how significantly the arrangements differ.Research limitations/implicationsThis research is explorative in nature and revealed a large number of intents. Generalization of findings is not straightforward, as there is no uniform view on what constitutes SSCs and PPPs. This research helps to have insight in the basic differences, but needs to be further generalized by investigating a larger number of case studies.Practical implicationsPublic organizations are struggling to find the right sourcing arrangements. This research can help decision makers in making a choice between PPPs, SSCs and outsourcing arrangements.Originality/valueThe primary value of this study is to understand the differences between the strategic intents underlying the use of these three sourcing arrangements.

Annotation

Organizations are increasingly introducing data science initiatives to support decision-making. However, the decision outcomes of data science initiatives are not always used or adopted by decision-makers, often due to uncertainty about the quality of data input. It is, therefore, not surprising that organizations are increasingly turning to data governance as a means to improve the acceptance of data science decision outcomes. In this paper, propositions will be developed to understand the role of data governance in creating trust in data science decision outcomes. Two explanatory case studies in the asset management domain are analyzed to derive boundary conditions. The first case study is a data science project designed to improve the efficiency of road management through predictive maintenance, and the second case study is a data science project designed to detect fraudulent usage of electricity in medium and low voltage electrical grids without infringing privacy regulations. The duality of technology is used as our theoretical lens to understand the interactions between the organization, decision-makers, and technology. The results show that data science decision outcomes are more likely to be accepted if the organization has an established data governance capability. Data governance is also needed to ensure that organizational conditions of data science are met, and that incurred organizational changes are managed efficiently. These results imply that a mature data governance capability is required before sufficient trust can be placed in data science decision outcomes for decision-making.

Purpose
This paper aims to examine the use and acceptance of open government data (OGD) of different stakeholder groups in India.


Design/methodology/approach
Following an empirical investigation among 244 respondents in India, the paper deploys path analysis via LISREL. The conceptual construction of the Unified Theory of Acceptance and Use of Technology (UTAUT) framework is used to assess the behavioral intention to use and accept OGD. Multiple regression analysis informs the relationship of demographic variables with the behavioral intention to use and accept OGD.


Findings
Path analysis showed that there is an increased use and acceptance of OGD among the respondents. Multiple regression analysis shows that men are more likely to use open data sets than women. Individual differences are found among the respondents with regard to OGD usage. Thus, while men may tap open data sets in line with their purposes and professional backgrounds, women are likely to tap the data sets even for non-professional purposes. Furthermore, the respondents who are younger in age are more behaviorally inclined to accepting and using OGD than their older counterparts.


Practical implications
The Indian government needs to popularize and familiarize OGD initiatives among the people to a greater extent. The utilitarian value of OGD may be provided when data sets are more user-friendly, frequently updated and accurate. This would facilitate in better provision of public services besides appreciating the public sentiment. Further, with increased interaction between citizens and the government, public accountability and transparency may be better realized.


Social implications
The study shows that different groups of people are engaging in tapping information through government websites and related portals. Societal influence was found to be an important factor which predicts the acceptance and usage of OGD. An infrastructure can help to enable the use of OGD.


Originality/value
Hitherto, studies have focused on OGD initiatives in the developed countries, but extant literature is scarce on developing countries. Therefore, this study seeks to fill the literature gap by probing OGD use and acceptance among different stakeholder groups in India.

The combination of social media and Business Process Management (BPM) has given rise to the emerging field of "social BPM". The new devel-opment of social BPM is expected to provide bene-fits like flexibility for knowledge-intensive pro-cesses, like policy-making. The goal of this paper is to understand the impact of social BPM on poli-cy-making. We first present a literature survey showing that social BPM is a new and emerging research area and limited attention has been giv-en to social BPM in e-government. The literature reviews showed a lack of empirical research into the accomplished benefits of social BPM. To bridge this gap, a comprehensive case study in a Dutch government social BPM platform was con-ducted. While not all the benefits suggested in the literature were identified in the case study, nega-tive impact of social BPM were also found. A ten-sion was found between accomplishing flexibility and accountability and user efficiency.

Most cities have limited resources to become a smart city. Yet some cities have been more successful than others in becoming a smart city. This raises the questions why were some cities able to become smart, whereas other were not able to do so? This research is aimed at identifying factors influencing the shift towards becoming a smart city. In this way insight is gained into factors that governments can influence to become a smart city. First, Literature was reviewed to identify dimensions and factors enabling or impeding the process of becoming a smart city. These factors were used to compare two similar type of case studies. The cases took different paths to become a smart city and had different levels of success. This enabled us to identify factors influencing the move towards smart cities. The results reveal that existing infrastructures should be used and extended in such a way that they can facilitate a variety of different applications. Synergy from legacy systems can avoid extra expenditures. Having such an infrastructure in place facilitates the development of new organizational models. These models are developed outside the existing organization structure to avoid hinder from existing practices and organizational structures. This finding suggests that smart cities focussed on structural ambidexterity innovate quicker.