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Decision support (DS), as a traditional management concept, have had a remarkable role in competitiveness or survival of organizations and nowadays, business intelligence (BI), as a brand modern impression, has various contributions in supporting decision-making process. Although, a variety of benefits are expected to arise from BI functions, researches, and models that determining the effect of BI functions on the decisional and organizational benefits are rare. The purpose of this paper is to study the relationship between BI functions, DS benefits, and organizational benefits in context of decision environment.

This research conducts a quantitative survey-based study to represent the relationship between BI capabilities, decision support benefits, and organizational benefits in context of decision environment. On this basis, the partial least squares (PLS) technique employs a sample of 228 firms from different industries located in Middle-East countries.

The findings confirm the existence of meaningful relationship between BI functions, DS benefits, and organizational benefits by supporting 15 out of 16 main hypotheses. Essentially, this research provides an insightful understanding about which capabilities of BI have strongest impact on the outcome benefits.

The results can provide effective and useful insights for investors and business owners to utilize more appropriate BI tools and functions to reach more idealistic organizational advantages. Also it enables managers to better understand the application of BI functions in the process of achieving the specified managerial support benefits.

The purpose of this paper is to explore what potential benefits may be achieved by using advanced planning and scheduling (APS) systems in the sales and operations planning (S&OP) process.

The paper investigates benefits at the S&OP process level by interviewing APS experts and APS users. Several methods have been used; literature review, Delphi study, and a case study at a company in the chemical industry which uses APS system support in the S&OP process.

Three types of potential benefits were found to be achieved when using APS systems in the S&OP process; benefits concerning decision support, planning efficiency and learning effects. The most common type was decision support benefits according to APS users and APS experts. The results from the case company showed that the benefits perceived in the different S&OP activities differed. In the activities concerning the preparation and generation of delivery plans, the perceived benefits mainly concerned learning effects. In the activities concerning the generation of a production plan, the benefits were foremost found in planning efficiency. In the S&OP meeting decision support benefits were highest valued. The reason for the different results can be explained by the aim of the activity, how APS was used in the activity, the user characteristics and the design of the model and access and quality of planning data.

The focus of this paper is on potential benefits of APS systems in the S&OP process only, not the costs. It has established a typology of potential benefits. No validation in form of statistical analysis has been done. The empirical analysis is mainly based on findings from a single case study.

The findings about the types of APS potential will assist companies in understanding the benefits they can expect from its use in the S&OP process. The case study analysis gives further insight into how APS can be employed and what benefits different APS user categories can expect when it is used in an appropriate way.

The knowledge about which benefits that can be achieved when using APS in the S&OP process is quite unexplored. This paper fills some of these gaps.

The purpose of this study is to provide better understanding of Enterprise Resource Planning (ERP) systems adoption, as well as non‐adoption practices in a less developed country setting, namely Bahrain.

A survey method was employed to elicit opinions from IT executives from two types of companies: those which adopted ERP systems and those which so far have not.

The study highlighted the benefits, motives and barriers of implementing such systems. Moreover, for those which have not experienced these practices before, it investigated the reasons behind not implementing these systems, executives' attitudes, and future intentions towards these systems. Implications and insights for businesses, ERP systems' vendors, educators, and researchers have been discussed based on the results of the survey.

This study extends research efforts concerning the adoption of ERP systems to include strategic and decision‐making aspects of evaluation, which have not had appropriate attention from past research. It explores connections between these two aspects with other classical ones such as operational and technical dimensions of evaluation. Responding to repetitive research calls for appropriately scrutinizing adoption practices of this technology in different countries – especially developing ones – the paper presents the results of a survey of ERP systems adoption in Bahrain.

For an organization to realize the intended benefits of an enternprise resource planning (ERP) investment, it must integrate both technical expertise and functional area knowledge, and it must have continuing support after implementation. The study aims to expand understanding of how organizations ensure the necessary support from functional experts during and after ERP installations. In particular, the study aims to address the question of the type of horizontal support mechanism chosen for this support and how managers make these choices.

The study is a replicated case study based on interviews with project leaders in nine universities judged to have successful PeopleSoft ERP implementations. Thematic analysis is applied to identify the factors influencing managerial choices and organizational decisions made to assure post‐implementation ERP support.

The findings indicate that managers of ERP implementations recognize the necessity for horizontal coordinating mechanisms both during and after implementation. The paper finds no single “best” structure in the cases, nor does it observe that the support structure decision is always based on a deliberate organizational strategy. The findings indicate that selection of post‐implementation support structure is often a negotiated outcome. Ultimately, the paper finds that the outcomes were based on three factors: the situated context of the original implementation project goals; the nature of early commitments made to functional subject matter experts and their departments; and the initial project structure used during the implementation phase.

This research fills a gap in research on ERP support structures by examining how localized organizations assure the necessary support from subject matter experts, commencing with project inception and continuing through post‐implementation. The results contribute to theory by illustrating the value of a process‐based approach to understanding the factors that affect the choice of support structures. The findings contribute to practice by highlighting how early management decisions and the methods executives chose to assure commitments from key stakeholders can restrict the range of options for post‐implementation organizational structures.

The purpose of this paper is to examine how decision rationality affects ERP adoption extensiveness and subsequently, organization performance. The mediating roles of system usage and user satisfaction on the relationship between adoption extensiveness and organizational performance are also examined.

This study was based on a questionnaire survey of 976 public-listed companies and 200 unlisted manufacturing companies. Responses of 93 ERP adopters were analyzed.

ERP adoption extensiveness is significantly affected by the overall measure of expected economic benefits, but not by any of the economic benefit type individually. On the other hand, mimetic pressure individually affects ERP adoption extensiveness, but not the overall measure of institutional pressures. ERP adoption extensiveness is significantly associated with organizational performance, and the mediating roles of system usage and user satisfaction are supported.

This study has the limitations associated with questionnaire-based research and its small sample size may also limit the generalizability of its findings.

The high emphasis on operational benefits of ERP adoption and the significant effect of mimetic pressure on ERP adoption extensiveness imply that organizations in Malaysia are largely “followers” of the technological innovation and generally have yet to exploit the full potentials of their ERP systems. Government agencies may need to play a more active role to facilitate fuller utilization and adoption of the higher end ERP applications. Vendors of ERP systems may need to review their strategies to increase their sales of ERP systems to the smaller business enterprises.

The paper addresses the relatively void in literature on the link between decision rationality and technology adoption extensiveness and the subsequent organizational performance in the context of an emerging economy.

Decision support systems (DSS) are a process common to all decision‐making and are essentially individualistic. DSS were externalised to improve management productivity and to cope with increasing volumes of data. Computers were introduced to speed up the process, to improve the accuracy of results and to control costs.

In terms of entrepreneurship, open data benefits include economic growth, innovation, empowerment and new or improved products and services. Hackathons encourage the development of new applications using open data and the creation of startups based on these applications. Researchers focus on factors that affect nascent entrepreneurs’ decision to create a startup but researches in the field of open data hackathons have not been fully investigated yet. This paper aims to suggest a model that incorporates factors that affect the decision of establishing a startup by developers who have participated in open data hackathons.

In total, 70 papers were examined and analyzed using a three-phased literature review methodology, which was suggested by Webster and Watson (2002). These surveys investigated several factors that affect a nascent entrepreneur to create a startup.

Eventually, by identifying the motivations for developers to participate in a hackathon, and understanding the benefits of the use of open data, researchers will be able to elaborate the proposed model and evaluate if the contest has contributed to the decision of establish a startup and what factors affect the decision to establish a startup apply to open data developers, and if the participants of the contest agree with these factors.

The paper expands the scope of open data research on entrepreneurship field, stating the need for more research to be conducted regarding the open data in entrepreneurship through hackathons.

The purpose of this paper is to contribute to the development of measures to assess the ERP adoption of small and medium‐sized enterprises.

The paper follows Churchill's guideline for developing measures that have desirable reliability and validity. The pilot data are used to develop a proper measurement. The survey data, based on the 126 valid responses of 328 companies, are analysed by structural equation modelling (SEM) statistical methods.

The paper finds that the dimensions affecting ERP adoption show that characteristics of the CEO and perceived benefits possess positive effects on ERP adoption, while cost and technology have negative effects on ERP adoption. However, only “perceived benefits” is a significant dimension. It is surprising that the cost of the ERP system does not significantly affect ERP adoption.

The paper shows that the sample size should be taken into consideration when generalising the findings, and extended data and measures are required for further in‐depth investigation in specific areas.

The paper points out that the managers of SMEs with limited resources can find many ways to get more resources from governments. Government managers should be more realistically set the goal of helping firms in a healthy condition to adopt e‐business instead of setting the goal of improving the e‐business readiness of all SMEs. To help all CEOs of SMEs to realise the potential benefits, governments can work with academic research groups to set up forums and workshops to broadcast knowledge.

The paper develops measurements to assess the ERP adoption of small and medium‐sized enterprises. The results offer practical help for government managers to better understand ERP adoption with institutional help in Taiwan. Meanwhile, researchers interested in IT/IS can use the information provided here to guide their future enquiries.

Places in competition for inward investment increasingly apply place brands to address their target groups, often being unable to adequately establish the effectiveness of this approach. Based on theoretically derived components and structures an empirically validated model – the investor‐based place brand equity model (IPE) – is presented. Using the example of North European creative industries investments in Germany, the purpose of this paper is to illustrate the application of the model in establishing the effectiveness of place brands. This is preformed with the German place brand “Lübeck” as the illustrative case.

Theoretically derived model components and structures to establish the effectiveness of place brands from an investor perspective are tested empirically. This empirical test encompasses primary data from 101 North European creative industries investors in Germany (31 percent of total population).

The effectiveness of place brands in influencing the behaviour of inward investors can be established by identifying and applying suitable place brand attributes and place brand benefits. While place brand attributes assist the operational place brand management, place brand benefits support strategic decisions to be taken by place brand managers.

The model is limited to establish the effectiveness of place brands from the investor's point of view. If this approach can be related to the costs of implementation, the model can be extended to assess the efficiency. Within the context of this research, establishing the effectiveness is considered to be the only reliable approach for the time being since the costs of the place branding activities can usually not be delimited from economic development budgets. The model has not yet been considered for other target groups (e.g. tourists, residents).

So far this area of research has been approached by case studies. Considering this limited research basis, this paper aims at developing a generic approach to identify and validate those components and structures which can increase the effectiveness of place brands from an investor's perspective.

Increasing complexity in construction projects evokes interest in application of innovative digital technologies in construction. Digital twins (DT), which bring these innovative technologies together, have strong interactions with lean construction (LC). To highlight the collaborative nature of DT and LC, the paper explores the interactions between LC and DT and assesses benefits, costs, opportunities and risks (BOCR) of DT in LC to analyze significant obstacles and enablers in DT adoption in LC.

BOCR approach comprehensively considers both the positive and the negative attributes of a problem. At the first step, BOCR criteria for DT are identified through literature review and expert opinions, at the second step dependencies among BOCR criteria for DT in LC are determined by neutrosophic analytic hierarchy process (AHP), through a questionnaire survey. Integrating BOCR into neutrosophic AHP enables achieving more meaningful preference scores.

Cost of skilled workforce is the most important factor and opportunity to reduce waste is the second most important factor in adoption of DT in LC. The results were analyzed to rank the BOCR of adoption of DT in LC.

This study, in a novel way, performs BOCR analysis through neutrosophic AHP to reflect experts' judgments more effectively by neutrosophic AHP's better handling of vagueness and uncertainty. The paper provides a model to better understand the significant factors that influence adoption of DT in LC.