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The aim of this paper is to investigate how enterprise resource planning (ERP) systems could create a competitive advantage for small and medium‐sized enterprises (SMEs). The objectives of this study are to examine how responsive and agile the existing ERP systems are to change and uncertainty, and to identify the types of change and uncertainty in SME manufacturing environments.

A mixed methodology is used in this study, which involves literature review, questionnaire survey and follow‐up, in‐depth telephone interviews. An uncertainty diagnosing business model is applied to collect data from SME manufacturers in make‐to‐stock (MTS), make‐to‐order (MTO) and mixed mode (MM) manufacturing environments in a structured manner, and to analyse the effects of the underlying causes of uncertainty on product late delivery in MTS, MTO and MM manufacturing environments in SMEs. Some 108 enterprises responded (86 per cent response rate), of which 64 are SMEs. Analysis of variance (ANOVA) is carried out in SPSS to analyse the effects of the underlying causes of uncertainty on product late delivery in MTS, MTO and MM manufacturing environments in SMEs.

ANOVA results show that a different group of underlying causes of uncertainty significantly affects the product late delivery performance in MTS, MTO and MM manufacturing environments in SMEs. This study found that ERP could improve responsiveness and agility to change, but not to uncertainty. SMEs could create a competitive advantage by being more responsive to change in the ERP system before generating purchase and work order. ERP systems could not deal with uncertainty due to its stochastic and unpredictable nature. SMEs use a range of buffering or dampening techniques under uncertainty to be competitive in delivery.

It can be concluded that the application of the business model in SMEs that use ERP has provided useful knowledge about the significant underlying causes of uncertainty that affect product late delivery performance in MTS, MTO and MM manufacturing environments. Using this knowledge, similar SMEs could then prioritise the effort and devise suitable buffering or dampening techniques to manage the causes of uncertainty and hence prevent any changes to the ERP system.

This research aims to determine to what extent uncertainties affected manufacturing enterprises' delivery performance, to analyse the performance of their contingency plans in dealing with uncertainties and to explore what technical and organisational factors affected managers' decisions to implement an uncertainty‐diagnosing model.

The methodology included a literature review, postal questionnaire survey and telephone interviews.

A total of 30 companies responded to the questionnaire, 56 per cent of which thought their systems worked well and 80 per cent reported that material shortages were responsible for tardy delivery performance. Tardy delivery was directly or indirectly caused by poor supplier delivery performance in the opinion of 92 per cent of respondents. Seven companies had developed an uncertainty‐diagnosing model. Not all companies needed to adopt the model.

Uncertainty and contingency plans were investigated in UK and Chinese organisations using MRP/MRPII/ERP systems. Therefore, the findings will be directly relevant to the organisations, but may be adapted to other similar organisations.

A detection method was proposed to determine the steps required for organisations to adopt the uncertainty‐diagnosing model.

The paper provides some empirical data on uncertainty and the contingency plans used in ERP‐controlled manufacturing environments in organisations in the UK and China. Data on uncertainty are scarce and this research gives further insights into the ways managers perceive and handle uncertainty.

Enterprise resource planning (ERP) systems that are equipped with numerous features and functionalities help to improve the profitability of construction corporations around the world through enhancing the efficiency of the functions related to cost management. Thus, the purpose of this study was to investigate the applicability of ERP systems for cost management of building construction projects in Sri Lanka.

A qualitative technique was used in this study, which comprised two-round Delphi-based semistructured interviews. Purposive sampling was used to determine the interviewees. Content analysis was used to evaluate the collected data.

The findings of this study identified the ERP system as a strategic tool for gaining a competitive advantage for an organization while confirming 14 uses of ERP systems and 16 stages of the cost management process. Eighteen issues were finalized at the end of the interview rounds while categorizing the suitable ERP applications at each stage of the cost management process.

Even though there are numerous distinct studies conducted on cost management and ERP systems, there has been a lack of studies conducted on the synergy between these two areas that can be adapted for the building projects in the Sri Lankan context. Therefore, the findings of this study can bring a new paradigm to the Sri Lankan construction sector by influencing the adaption of correct ERP systems at numerous project stages by providing a competitive edge.

This study aims to investigate the impact of skills and knowledge of employees, economic situations of the company, current IT infrastructure, payment fashion, cloud availability, and cloud privacy and security on the productivity of the human resources in the COVID-19 era.

Over the past few years, the advent of cloud-assisted technologies has dramatically advanced the Information Technology (IT)-based industries by providing everything as a service. Cloud computing is recognized as a growing technology among companies around the world. One of the most critical cloud applications is deploying systems and organizational resources, especially systems whose deployment costs are high. Manpower is one of the basic and vital resources of the organization, and organizations need an efficient workforce to achieve their goals. But, in the COVID-19 era, human resources' productivity can be reduced due to stress, high labor force, reduced organizational performance and profits, unfavorable organizational conditions, inability to manage and lack of training. Therefore, this study tries to investigate the productivity of human resources in the COVID-19 era. Data were collected from the medium-sized companies through a questionnaire. Distributed questionnaires were conducted on the Likert scale. The model is assessed using the structural equation modeling technique to examine its reliability and validity. The study is a library method and literature review. A case study was conducted through a questionnaire and statistical analysis by SPSS 25 and SMART-PLS.

Based on the findings, the skills and knowledge of employees, the economic situations of the company, payment fashion, cloud availability and the current IT infrastructures of the company have a positive impact on human resource efficiency in the COVID-19 era. But cloud privacy and security have a negative effect on the productivity of human resources. The findings can be the basis for companies and organizations in the COVID-19 era.

This study has some restrictions that need to be considered in evaluating the obtained results. First, due to the prevalence of Coronavirus, access to information from the companies under study was limited. Second, this research may have overlooked other variables that affect human resource productivity in the COVID-19 era. Prospective researchers can examine the impact of Customer Relationship Management (CRM) and Supply Chain Management (SCM) on the human resource's productivity in the COVID-19 era.

The results of this research are applicable for all companies, their departments and human resources in the COVID-19 era.

In this paper, human resources' productivity in the COVID-19 era is pointed out. The presented new model provides a complete framework for investigating cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era.

This paper proposes a knowledge management approach for managing uncertainty in manufacturing enterprises.

The knowledge management approach consists of a knowledge‐enriched manufacturing system, which is modelled using SIMAN simulation language and programmed using Visual Basic applications. A knowledge‐based planning module and an execution platform are simulated so that signals could be transferred, and configuration to the planned parameters could be made, in order to minimise variations due to uncertainties. A reference architecture and intelligent agent are created to store tacit knowledge and create explicit knowledge, respectively.

Manufacturing enterprises should use both tacit knowledge about uncertainties and buffering and dampening techniques, simultaneously with the explicit knowledge that is generated by the intelligent agent, for managing uncertainty. The design of the knowledge management approach enables easy integration with material requirements planning, manufacturing resource planning or enterprise resource planning systems, and complements with the adoption of advanced technology.

A new concept – management by valued‐added urgency, emerges that underpins the knowledge management approach. It is grounded from the previous literature on managing uncertainty classified into: masking approach; standardising approach; prioritising approach; and optimising approach and extended Westbrook's priority management theory. This concept focuses selectively on value‐added changes that need to be made to counteract variations caused by significant uncertainty.

While the need for information systems is regularly highlighted in the humanitarian logistics literature, a detailed model of what such system would look like is missing. The purpose of this paper is to highlight the need and advantages of enterprise resource planning (ERP) technology in humanitarian emergency logistics. The paper also proposes a model for the configuration, maintenance, operation, and improvement of the system.

This conceptual paper uses existing logistics and information systems literature to build the logical case for an integrated enterprise system for humanitarian emergencies, and to propose conceptual content and process models.

The problem of lack of coordination is reviewed, and a holistic solution is proposed through a structure and model of ERP systems technology to meet the specific requirements of humanitarian emergencies.

As in any conceptual paper, a limitation of this paper is the lack of empirical validation of the proposed system. It also might be difficult to obtain the cooperation of multiple organizations. This research focuses on emergency humanitarian logistics, where effectiveness and speed have priority over simplicity or cost.

The model proposed in this paper links current efforts in humanitarian emergency coordination with existing supply chain information technologies, and is practically feasible both from the technological and organizational perspectives.

Because of the critical, life or death nature of the problem, social and ethical implications of this research are broad, including the divergence of coordination in humanitarian vs commercial and military logistics, as well as inter-agency politics.

This paper is a bold but realistic attempt to take a holistic view of humanitarian logistics and design a system that would be effective, and calls humanitarian organizations worldwide to collaborate in its implementation.

This study explores the influencing factors of the enterprise resource planning (ERP) readiness stage on project success immediately after go-live from the project manager’s perspective.

The influencing factors of the ERP readiness stage are explored through the literature and expert review sessions and are embedded in Kotter’s change management model. A survey-based empirical study is conducted among ERP project managers in Turkey in 2019 utilizing principal component analysis and multiple regression analysis to reveal the direct relation of influencing factors and project success.

Results show that the proposed model explains 65.179% of the variation with four components. The association of components through regression analysis reveals that project planning and management, employee commitment and change management directly relate to the ERP project success. Yet, surprisingly top management support is not directly correlated. Therefore, the results suggest that influencing factors of such long projects are to be evaluated by the stages of the project life cycle.

This research is limited to the project managers’ perspective in Turkey and the readiness stage of the project life cycle.

The objectives of this research serve as a guideline for ERP project managers to consider the success factors in terms of ERP project phases. This ensures that the project manager allocates optimum resources to the right factors at the right time.

Despite numerous studies in the ERP readiness stage, this study opens new ways of future research while filling several gaps. First, the ERP readiness phase is discussed with a theoretical approach through Kotter’s change management model. Second, the influencing factors of the ERP readiness stage on ERP project success from the project manager’s perspective are explored, and factor structures are revealed. Then, the association of the factors with ERP project success of “immediately after go-live” is empirically tested.

Enterprise systems are commonly implemented by firms through outsourcing arrangements with software vendors. However, deriving benefits from these implementations has proved to be a challenge, and a great deal of variation has been observed in the extent of value generated for client and vendor firms. This research examines the role of co-specialization as a strategy to make the most out of outsourced enterprise systems. The authors develop hypotheses relating resource co-specialization with two indicators of success for implementation of enterprise software: (1) exchange success and (2) firm growth.

The hypotheses are tested using a unique panel data set of 175 firms adopting Advanced Planning and Scheduling (APS) software, a type of enterprise system used for managing manufacturing and logistics. The authors identify organizational factors that support co-specialization and then examine how co-specialization is associated with enterprise software implementation success, controlling for the endogenous choice to co-specialize.

The empirical results suggest that resource co-specialization is positively associated with implementation success and that the two resource co-specialization pathways that are examined complement each other in providing performance benefits.

This paper contributes to the research literature on outsourcing. The study also provides a new empirical test using a unique data set of 175 firms adopting APS Software.

China has been successful in its economic reform and opening and is becoming the third largest economy and the third largest exporter in the world. The global society is looking for Chinese experience with great interest. This paper attempts to explain and explore China's experience on technology management both in breadth and in depth. The strength and weakness of China's technology management system both at macro‐ and micro‐level are fully explored.

A basic framework to study the technology management system of China is established through the application of general systems theory. Technology Management system is analyzed to be a subsystem of national economy and it is also a subsystem of an enterprise or any organization. Approach is done at both macro‐ and micro‐level, macro‐level is studied with a retrospect of evolution of China's national science and technology planning system throughout the whole historical period. Micro‐level of behavior of enterprise with interaction to governmental policy and with technology supporting institutions is analyzed through two case studies.

The successful experience of China's economic and technology management system in reform and opening is a unique combination of its national strategic planning system on the macro‐side and the changing behavior of market oriented enterprises on the micro‐side. The future prospects of China's technology Management system in catching up the advanced level depends upon the continuous improvement and adjustment of these two in adapting to the continuous change of the global environment.

This paper is an original analysis of technology development and management system of China based upon approach from both macro‐ and micro‐side within the broader context of an opening environment of a system.

The purpose of this paper is to propose an implementation model for enterprise resource planning (ERP) based on resource-based view, and using the dynamic capability theory as its theoretical foundation. This model includes: the establishment of the objectives of the implementation, an assessment of the available resources and the scope of the implementation, the redesign/integration and organizational learning during the process, the implementation of the system, and the measurement and evaluation of its performance.

An integrated circuits design company in Taiwan was used in a case study to examine the validity of the proposed model.

When the proposed ERP implementation model was applied in this study, the results show that organizational coordination, system-process redesign and integration, and organizational learning are the critical strategies for enterprises, in order to reduce the risks during the implementation of ERP projects.

This model can help enterprises recognize the resources needed when implementing an ERP. In addition, they need to consider the reliability of these resources, as this will increase the efficiency of the implementation, and thus the probability of success.

Studies of past models in the implementation of ERP have been conducted in various industries. There is a need for further studies that evaluate the different concepts in terms of the effectiveness of specific methods, in order to enhance the probability of successfully implementing a dynamic system. This paper is one of the first to explain how an enterprise can implement an ERP that is based on the theory of dynamic capabilities. The case study illustrates the important, critical success factors.