Search results

The purpose of this paper is to examine the information gathering methods used during enterprise system (ES) selection among Polish organizations and to have IT consulting experts evaluate these methods, which will result in identification of the preferred approach for the information‐gathering task during system selection.

The research has a qualitative exploratory design with grounded theory being the main research method. A mixed quantitative‐qualitative approach to data collection was used: an e‐mail‐based survey was used as an introductory stage to gather data on information‐gathering methods. The results of the survey were evaluated by ES experts during unstructured interviews. The interviews were then transcribed and coded according to the grounded theory coding techniques.

The evaluation of selection approaches revealed that the approach to information gathering should depend on the level of configurability of the systems subject to selection. Two generic approaches were identified: requirements driven – for highly configurable systems, and system functionality driven – for the systems offering limited configurability. Interaction between the customer and the bidder was also identified as the main condition for preparing the unbiased offer by the bidders.

Regarding the survey study, as the survey sample was small and the sample selection process was not random, the results should not be generalised to the whole population of Polish enterprises. It would be also beneficial to test the validity of the findings from the grounded theory study on the big population of ES bidders with the use of statistical methods.

For highly configurable systems, a model that includes a business process analysis, detailed requirements' specification and dedicated system functionality presentation is the preferred approach. A workshop is preferred to obtaining a ready requirements list. For systems offering limited configurability, an approach centred on system presentation is more suitable. In this case the requirements should be gathered during the presentation on a “gap‐fit” basis.

There is a significant lack of research that explores the selection process, with the stress on organizational needs and system functionality information gathering and makes indications for improvement of this process from the consulting enterprise (bidder) point of view. The paper fills this gap by presenting the results of a survey among Polish enterprises regarding selection routines and the evaluation of these routines by expert ES professionals, resulting in the development of the preferred set of information‐gathering methods.

The purpose of this paper is to establish that there are causal relationships among critical success factors (CSFs) associated with an enterprise resource planning (ERP) project. The authors prove that: H1 – Vendor (VN) is positively related to Enterprise System Selection Process (ES). H1a – Enterprise System Selection process (ES) mediates the relationship between vendor (VN) and Success (SS). H2 – Project Management (PM) is positively related to Implementation Strategy (IS). H2a – Implementation Strategy (IS) mediates the relationship between Project Management (PM) and Success (SS). H3 – Support of Top Management (TM) is positively related to Project Team Competence (PT). H3a – Project Team Competence (PT) mediates the relationship between Support of Top Management (TM) and Success (SS).

To test the proposed hypotheses, the authors conducted a survey using a questionnaire. The research questionnaire was floated to 450 respondents; the authors received 168 responses. The authors had to discard 62 responses as their organization had greater than 250 employee and did not qualify to be an Indian SME. The authors were left with 106 responses. The respondents were managers (5.6 percent), consultants (39.6 percent), engineers (50 percent) and the remaining (4.8 percent) did not specify their job. The authors then do regression analysis and path analysis including all other required analysis.

The authors found that all hypotheses are supported. The management may use these findings to understand relationships among CSFs and use this knowledge to mitigate and manage CSFs.

There are no systematic studies to study relationships among CSFs. The work establishes relationships among CSFs through data collected from organizations that have implemented ERP.

Today enterprise resource planning (ERP) applications are a substantial proportion of many corporations' capital expenditure and the effective management of this pliable asset has significant consequence for business performance. The purpose of this paper is to examine the corporate strategy of a global corporation that, in pursuit of competitive advantage, deployed ERP applications.

This inductive case study research examines the corporate processes utilised to strategically manage ERP in a global corporation. The approach is explorative and method qualitative. Semi‐structured interviews were conducted over a period of a year with senior executives, IT directors, IT managers, financial controllers, country managers and end‐users.

The study found that devolving responsibility of ERP applications to subsidiary organisations increased cost and hindered corporate parenting. The considerable cost of centralising IS management and standardising ERP processes was found to be greatly exceeded by the numerous benefits. The primary benefits being reduced cycle time, the ability to benchmark subsidiary performance, improved customer satisfaction and increased market share.

The research is limited by the analysis being of a single corporation. The major implication for future research is the need to understand the manner of ongoing management and control of ERP applications in different types of organisations. Particularly, their relationship with strategic management, how ERP enable and inhibit strategy, and ongoing management of operational ERP systems.

The dissemination of the management practices that have been employed to achieve a very successful ERP application‐based business strategy is helpful to the many organisations that have or intend to implement ERP applications. It is particularly noteworthy that centralised corporate objectives, when mandated and focused upon, provide benefits that could not be achieved in the ad hocracy that existed prior to the ERP implementation.

The dearth of theory about ongoing management of ERP and the plight of the many organisations that are having difficulty understanding how to strategically manage these ubiquitous systems in a rapidly changing business landscape makes the study significant to both theory and practice.

The implementation of circular economy strategies is one of the central objectives of several governments seeking a transition toward a sustainable development. Circular economy in agriculture deals with the production of agricultural commodities making an efficient use of resources and avoiding unnecessary waste and carbon emission generation. Disruptions in the production and supply of critical agricultural products can have serious negative repercussions for firms and consumers of the food supply chain. In recent decades, disruptions generated by natural disasters such as hurricanes, thunderstorms and floods have greatly impacted social communities and industrial sectors. Supply chain risks approaches are seen to contribute key elements to address the impacts of natural disaster toward the implementation of circular economy in agriculture, helping to prevent collapses in the production and supply of food. The purpose of this paper is to study and identify flood risk drivers and their effects on the sustainability of an agriculture supply chain in connection with a circular economy strategy. By using an extended Step-wise Weight Assessment Ratio Analysis method combined with a multi-criteria decision analysis, the most essential flood drivers with a degree of importance are reported here. Then, the authors propose an Evaluation of Data based on average ASsessment method, to rank different agricultural projects that pretend to mitigate the flood risks and its impacts on crop areas. The application of this research lies within the framework of a real agricultural project founded by the European Commission Scientific Section, called RUC-APS.

The authors use management science-based tools to address circular economy in agriculture. The authors propose a multi-criteria-based methodology to assess the risks of flooding in crops areas. To validate the proposed methodology, a case example from Spain is discussed to rank different agricultural projects that pretend to mitigate the flood risks and its impacts on crop areas.

The proposed multi-criteria methodology confirmed a successful application to rank different agricultural projects that pretend to mitigate the flood risks and its impacts on crop areas. Organizations and firms in the agricultural business can use the methodology to identify risks drivers and to detect the best projects to mitigate the highest impacts of flooding risks in crops areas.

The authors use supply chain risks approaches to address the impacts of natural disaster on the implementation of circular economy in agriculture. The authors propose a robust multi-criteria-based methodology to assess the risks of flooding in crops areas and we used to determine the best mitigating projects to face flooding risks on crop areas.

The purpose of this paper is to improve the understanding of the integration of business process management (BPM), business process re-engineering (BPR) and business process innovation (BPI) with big data. It focusses on synthesizing research published in the period 2006-2016 to establish both what the authors know and do not know about this topic, identifying areas for future research.

The research is based on a review of 49 published papers on big data, BPM, BPR and BPI in the top journals in the field 2006-2016.

In this paper, the authors have identified the most influential works based on citations and PageRank methods. Through network analysis the authors identify four major clusters that provide potential opportunities for future investigation.

It is important for practitioners to be aware of the benefits of big data, BPM, BPR and BPI integration. This paper provides valuable insights for practitioners.

This paper is based on a comprehensive literature review, which gives big data researchers the opportunity to understand business processes in depth. In addition, highlighting many gaps in the current literature and developing an agenda for future research, will save time and effort for readers looking to research topics within big data and business processes.

Reverse logistics (RL) is a strategic instrument across industries. The rapid evolution of online marketplaces has led to frequent product returns with variations across diversified businesses. These marketplaces have caused potential losses due to fraudulent returns, hence requiring a commitment of resources to RL. With information systems (IS) playing a role in improved supply chain performance, the purpose of this paper is to analyse the impact of a conceptualized IS framework on achieving RL strategic outcomes, under the individual moderating influence of resource commitment (RC) and return frequency.

Data have been collected through a questionnaire from top to middle management executives managing the supply chain, logistics and IS. Moderated regression analysis was conducted on the collected sample using Hayes’ (2013) process modeling.

The study depicts that IS capability, IS for logistics, IS partnership quality and IS for value addition lead to RL strategic benefits. Also, return frequency and RC act as relatively strong moderators with a negative impact. When analyzed for the individual IS constructs, RC has a stronger moderating impact than return frequency.

The IS usage framework can be used effectively by practitioners for enhancing strategic RL performances depending on variations in committed resources and return frequency for individual industries.

The study proposes an IS usage framework for achieving enhanced RL strategic outcomes and emphasizes on the moderating role played by RC and return frequency for producing the results.

The aim of this study is to (1) construct a standard framework for assessing the capability of bioenergy enterprises' digital green innovation partners; (2) quantify the choice of partners for digital green innovation by bioenergy enterprises; (3) propose based on a dual combination empowerment niche digital green innovation field model.

Fuzzy set theory is combined into field theory to investigate resource complementarity. The successful application of the model to a real case illustrates how the model can be used to address the problem of digital green innovation partner selection. Finally, the standard framework and digital green innovation field model can be applied to the practical partner selection of bioenergy enterprises.

Digital green innovation technology of superposition of complementarity, mutual trust and resources makes the digital green innovation knowledge from partners to biofuels in the enterprise. The index rating system included eight target layers: digital technology innovation level, bioenergy technology innovation level, bioenergy green level, aggregated digital green innovation resource level, bioenergy technology market development ability, co-operation mutual trust and cooperation aggregation degree.

This study helps to (1) construct the evaluation standard framework of digital green innovation capability based on the dual combination empowerment theory; (2) develop a new digital green innovation domain model for bioenergy enterprises to select digital green innovation partners; (3) assist bioenergy enterprises in implementing digital green innovation practices.

The security of applications, systems and networks has always been the source of great concern for both enterprises and common users. Different security tools like intrusion detection system/intrusion prevention system and firewalls are available that provide preventive security to the enterprise networks. However, security information and event management (SIEM) systems use these tools in combination to collect events from diverse data sources across the network. SIEM is a proactive tool that processes the events to present a unified security view of the whole network at one location. SIEM system has, therefore, become an essential component of an enterprise network security architecture. However, from various options available, the selection of a suitable and cost-effective open source SIEM solution that can effectively meet most of the security requirements of small-to-medium-sized enterprises (SMEs) is not simple because of the lack of strong analysis.

In this work, the authors first review the security challenges faced by different SME sectors and then consider a comprehensive comparative analysis of the capabilities of well-known open source SIEM solutions. Based on this, the authors provide requirements based recommendations of open source SIEM solutions for SMEs. This paper aims to provide a valuable resource that can be referred to by SMEs for the selection of a SIEM system best suited to their organization’s security posture.

Security requirements of SMEs vary according to their network infrastructure; therefore, every open source SIEM solution would not be suitable for an SME. Selection of a SIEM solution from available open source solutions based upon the security requirements of an SME network is a critical task. Therefore, in this work, a meaningful insight for the selection of an appropriate SIEM solution for SMEs is provided.

Major contribution of this work is the mapping of the security requirements of the SME sectors under consideration, against the open source SIEM options to provide meaningful insight for SMEs in the selection of an appropriate solution.

The purpose of this paper is to contribute to the discussion on enterprise resource planning (ERP) system adoption by investigating the relationship of enterprise size to the objectives and constraints of ERP adoption.

In the paper, survey data, based on the responses of 44 companies, are analyzed, by dividing the companies into small, medium‐sized, and large enterprises; and comparing these groups, using statistical methods.

The paper finds significant differences exist between small, medium‐sized and large enterprises regarding the objectives and constraints of ERP system adoption. While small enterprises experience more knowledge constraints, large enterprises are challenged by the changes imposed by ERP adoption. Further, large and medium‐sized enterprises are more outward‐oriented in ERP adoption than small enterprises. Business development, as opposed to mere efficiency improvement, while being the most prevalent objective for ERP adoption in all the company groups, is considered especially important by medium‐sized enterprises. Finally, the findings suggest that, instead of considering small and medium‐sized enterprises as one homogeneous group of smaller enterprises, differences between these two groups of companies should be acknowledged in information system adoption.

The paper shows that the Finnish context and the sample size should be taken into consideration when generalizing the findings.

The paper points out the differences in objectives and constraints between companies of different sizes that should be acknowledged in ERP adoption.

Instead of resorting to the customary approach of considering small and medium‐sized enterprises as a homogeneous group of smaller enterprises, this study acknowledges the differences between these two groups of companies.

Enterprise Systems are comprehensive and complex applications that form the core business operating system for many companies worldwide and throughout most industries. The selection, implementation, use and continuous change of Enterprise Systems (ES) (e.g. mySAP.com) require a great amount of knowledge and experience. Due to the lack of in‐house ES knowledge and the high costs of engaging experienced implementation consultants, organizations realize the need to better leverage their knowledge resources. Managing this knowledge is increasingly important with the second wave of ES projects focusing E‐Business applications like Customer Relationship Management (CRM) and Supply Chain Management (SCM). These new applications embrace an open‐integration strategy that will incorporate and support other vendors’ applications as part of its Internet‐based enterprise computing platform. This paper proposes a framework for managing knowledge in Enterprise Systems. The framework draws its strength from meta‐case studies and comprehensive literature analyses, which is consolidated into a three‐dimensional framework. The preliminary results show that the importance of value‐adding activities and innovation are elemental to knowledge management in the aspect of ES.