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The purpose of this paper is to investigate how stress appraisals (i.e. cognitive evaluations) influence entrepreneurial outcomes like expected financial well-being, life satisfaction, business growth and exit intentions.

This study uses a mixed-methods approach to provide methodological triangulation by analyzing data from two independent samples (qualitative data from 100 entrepreneurs in Study 1; quantitative regression analysis of a sample of 142 entrepreneurs in Study 2).

Results from the qualitative exploration (Study 1) show that entrepreneurs appraised venture-related stressors differently as a challenge, threat or hindrance. The quantitative study (Study 2) found that challenge stress appraisals were positively related to expected financial well-being and expected life satisfaction, threat stress appraisals were negatively related to expected financial well-being and positively related to business exit intentions, and hindrance stress appraisals were positively related to expected business growth and negatively related to business exit intentions.

Most entrepreneurship research focuses on stressors rather than appraisals of the stressor. Drawing upon the transactional theory of stress that explains how stress appraisals are an important consideration for understanding the stress process, these two studies showed that stress appraisals differ for each entrepreneur (Study 1) and that stress appraisals explain more variance in many entrepreneurial outcomes than stressors (Study 2).

War is one of the worst characteristics of human nature. Wars over territory, religion, and governance were and are always present through history. War and tourism seem dissonant at first glance. However, the post effects of war enable its components, such as battlefields and artefacts, to become tourist attractions. People share the impetus to visit war attractions such as battlefields, military museums, cemeteries, memorials, and other war-related sites. There is a supply for this type of tourism in exchange for the demand. This type of tourism is referred to in the literature as battlefield tourism. The meaning and definition of battlefield tourism are the main aim of this chapter. What is battlefield tourism? What are the components of battlefield tourism? How can battlefield tourism be defined? These are the primary questions this study tries to address.

This study explores the contributions of fly ash, bottom ash and biomass ash from coal and biomass power plants for enhancing circular economy of construction sectors in emerging economies.

This research investigates their applications in construction, emphasizing their role in reducing environmental impact and promoting circular economy principles. Through a qualitative analysis using data from structured interviews with 41 involved stakeholders, the study highlights the economic and environmental benefits of integrating these by-products into business operations.

Currently, the cement and concrete industries can successfully adopt almost 100% fly ash, but logistic optimization is necessary to address the wet fly ash problem. The practical applications of bottom ash pose disposal challenges due to their poor adoption. Biomass ash can be alternatively implemented as a soil amendment and fertilization in the agriculture industry while current growth seems significant with the shift to a clean energy policy.

This research underscores the importance of policy support and collaboration between industry stakeholders to maximize the sustainable potential of these by-products in an emerging economy context.

The sustainability development goals (SDGs) were well-established in developing economies. Nevertheless, the literature review indicates that there is a lack of understanding regarding their backgrounds, influencing factors, challenges and practical applications for the circular economy.

The purpose of this paper is to gain insight into enterprise resource planning (ERP) research by framing ERP intellectual contributions using a knowledge-centric taxonomy that was originally proposed as an organizing framework for classifying conceptual contributions in marketing. Thus the paper provides a better understanding of existing gaps and future opportunities in ERP research.

Using MacInnis framework, the authors classified a sample of 300 ERP articles published during the period 2000-2014 into a topology of four generic contributions types and eight sub-types.

The findings indicate that whereas the explicating type received the most attention by researches, the debating type received the least. It also seems that there is a temporal dimension to the different types of conceptual contributions. Identification of usefulness of the ERP systems to business was not addressed as would have been predicted by the build-evaluate lens of March and Smith framework.

The main limitation of this research is that only used articles from scholarly journals, and did not include conference proceedings, books, and other outlets. Another limitation is that the search criteria was title-based, which may have missed some relevant papers. Research implications include highlighting the importance of a knowledge-centric view of ERP research, and practical implications include the call for robust measurement criteria for ERP benefits and rigorous ERP comparison schemes.

The main contribution is providing an alternative approach to framing the ERP intellectual contributions. The proposed taxonomy revealed major areas of focus and opportunities for future ERP research emphasis. To the best of the authors’ knowledge, this is the first instantiation of MacInnis framework into ERP research.

Selective laser melting and electron beam melting processes are well-known for the additive manufacturing of metal parts. Metal powder bed fusion (MPBF) is a common term for them. The MPBF process can empower the manufacturing of intricate shapes by reducing the use of special tools, shortening the supply chain and allowing small batches. However, the MPBF process suffers from many quality issues. In literature, several works are recorded for qualification of the MPBF part. The purpose of this study is to recollect those works done for quality control and report their helpful findings for further research and development.

A systematic literature review was conducted to highlight the major quality issues in the MPBF process and its root causes. Further, the works reported in the literature for mitigation of these issues are classified and discussed in five categories: experimental investigation, finite element method-based numerical models, physics-based analytical models, in-situ control using artificial intelligence (AI) and machine learning (ML) methods and statistical approaches. A comparison is also prepared among these strategies based on their suitability and limitations. Additionally, improvements in MPBF printers are pointed out to enhance the part quality.

Analytical models require less computational time to simulate the MPBF process and need a smaller number of experiments to confirm the results. They can be used as an efficient process parameter planning tool to print metal parts for noncritical applications. The AI-ML based quality control is also suitable for MPBF processes as it can control many processing parameters that may affect the quality of the MPBF part. Moreover, capabilities of MPBF printers like thinner layer thickness, smaller beam diameter, multiple lasers and high build temperature range can help in quality control.

This study converts the piecemeal data on MPBF part qualification methods into interesting information and presents it in tabular form under each strategy. This tabular information provides the basis for further quality improvement efforts in the MPBF process.

This study references researchers and practitioners on recent quality control efforts and their significant findings for a better quality of MPBF part.

The purpose of this paper is to identify the success factors for implementation of enterprise resource planning (ERP) at Indian small to medium‐sized enterprises (SMEs) and to provide a comparative study with the trend in Indian large organizations and the global trend.

In this paper, the authors propose a hypothetical success factors model to address the research questions and validated the hypotheses using large‐scale survey‐based methodology. In this research the authors evaluated the success factors for implementation of ERP in Indian SMEs and then compared them with large Indian organizations and the global trends. In this paper, the authors have also tried to give some intuitive explanation to the possible reasons of difference between factors for SMEs compared to large organizations and global trends.

It was found that four of the five hypothesized technological factors are significantly related to the success of ERP implementation. They are: comprehensiveness of software development/process integration plan; significance of age of IT infrastructure; comprehensiveness of data migration plan; and extensiveness of system testing. Also, four of the nine hypotheses/sub‐hypotheses amongst the people factors are significantly related to the success of ERP implementation. They are: blend of cross‐functional employees in the team; extent of empowerment of decision‐making team; significance of morale of the implementation team; and exhaustiveness of user training. The authors have found that ten of the 11 hypothesized organizational factors are significantly related to the success of ERP implementation. They are: organisation's adaptability to changes; involvement of top management; degree of customization; efficiency of business process re‐engineering; exhaustiveness of contingency plans; clarity in definition of milestones; clarity in evaluation of milestones; alignment of ERP package with business processes; comprehensiveness of implementation strategy; involvement of consultant in implementation strategy; clarity of project status disclosure; and appraisal of clients about ERP strategy.

Though enough work has been done on implementing ERP systems in large organizations across the globe, the small and medium‐sized firms of India are largely left untouched. Through this paper, the authors aim to find out the various critical factors that any of these SMEs should keep in mind when planning the implementation of an ERP system.

This study aims to examine the determinants that influence housing prices in Dammam metropolitan area (DMA), Saudi Arabia, by using the analytic hierarchy process (AHP) model. The study considers determinants such as building age (BLD AG), building size (BLD SZ), building condition (BLD CN), access to parking (ACC PK), proximity to transport infrastructure (PRX TRS), proximity to green areas (PRX GA) and proximity to amenities (PRX AM).

The AHP decision model was used to assess the determinants of housing prices in DMA, using a pair-wise comparison matrix to determine the influence of the investigated factors on housing prices.

The study’s results revealed that building size (BLD SZ) was the most critical determinant affecting housing prices in DMA, with a weight of 0.32, trailed by proximity to transport infrastructure (PRX TRS), with a weight of 0.24 as the second most influential housing price determinant in DMA. The third most important determinant was proximity to amenities (PRX AM), with a weight of 0.18.

This study addresses a research gap by using the AHP model to assess the spatial determinants of housing prices in DMA, Saudi Arabia. Few studies have used this model in examining housing price factors, particularly in the context of Saudi Arabia. Consequently, the findings of this study provide unique insights for policymakers, housing developers and other stakeholders in understanding the importance of building size, proximity to transport infrastructure and proximity to amenities in influencing housing prices in DMA. By considering these determinants, stakeholders can make informed decisions to improve housing quality and prices in the region.

Enterprise resource planning (ERP) implementation brings with it a set of challenges. In order to gain a better understanding of these and they can be mitigated during the implementation process, the purpose of this paper is to use Esteves and Bohórquez (2007) classification based on ERP lifecycle framework, and content analysis to review the literature on ERP implementation in a structured format with a focus on larger enterprises, and provide a platform for practitioners to plan implementation with minimum possibility of failure.

Esteves and Bohórquez (2007) classification based on the ERP lifecycle framework is used to develop and present a comprehensive structured review of the literature on ERP system implementation in large enterprises (LEs), with a particular focus on pre-implementation, implementation, and post-implementation.

Drawing from the literature, organisations can plan implementation based on the findings and strategies presented in the study. This can lead to a better understanding of implementation with minimal probability of failure. The authors find that top management support, good project management teams, and good communications are the top three most important critical successful factors during implementation. The authors also identify critical gaps in current research. Existing research focusses predominantly on the implementation phase, but research on pre- and post-implementation is lacking, and that no industry standard implementation methodology has been developed.

This review primarily focusses on the literature in the area of ERP implementation. ERP implementation planning involves access to effective implementation strategies. Despite the literature identifying a myriad of different ERP implementation models, no standard industry ERP implementation model has been developed. The findings for ERP implementation are repetitive, inconsistent, and lack empirical research, rendering these two of the most critical areas for future research, and collaboration between ERP practitioners, system developers, and researchers. Researchers, in turn, need to become more innovative in terms of their research techniques when examining ERP implementation.

This paper provides guidance to researchers and practitioners with an insight into published research work and their findings. It provides a better understanding of ERP implementation, which can be applied towards overcoming operational difficulties during the implementation process.

This study is innovated in its use of Esteves and Bohórquez (2007) classification based on the ERP lifecycle framework, and content analysis to present a comprehensive structured literature review of the ERP implementation literature with a specific focus on pre-implementation, implementation, and post-implementation in LEs between the period 1989 and 2014. The technique and time period used in this study differs from those of other studies on ERP implementation. The paper brings together theoretical and practical developments on ERP implementation under a single source, which should aid practitioners, researchers and ERP developers with future research and decision making.

The paper aims to present a conceptual model that better defines critical success factors to ERP implementation organized with the technology, organization and environment (TOE) framework. The paper also adds to current literature the critical success factor of trust with the vendor, system and consultant which has largely been ignored in the past.

The paper uses past literature and theoretical and conceptual framework development to illustrate a new conceptual model that incorporates critical success factors that have both been empirically tied to ERP implementation success in the past and new insights into how trust impacts ERP implementation success.

The paper finds a lack of research depicted in how trust impacts ERP implementation success and likewise a lack of a greater conceptual model organized to provide insight into ERP implementation success.

The paper proposes a holistic conceptual framework for ERP implementation success and discusses the impact that trust with the vendor, system and consultant has on ERP implementation success.

Social cognitive theory suggests that entrepreneurs' characteristics affect entrepreneurial outcomes through interaction with their environment. This study examines the relationship between entrepreneurs' characteristics and performance in the context of entrepreneurial nascence.

This study investigated lagged-panel responses from a sample of 100 confirmed nascent entrepreneurs. Data collected on three separate occasions included core self-evaluations, commitment, fear of failure and success. PLS analysis was used to assess mediation of commitment on the self-evaluation – success relationship.

Core self-evaluations are an important predictor of entrepreneurial success in nascent-stage entrepreneurs participating in pre-venture assistance programs; positively affecting success and commitment, while negatively affecting fear of failure.

This investigation contributes to a fuller understanding of social cognitive theory as it pertains to nascent entrepreneurship. Furthermore, contrary to general expectations found in the entrepreneurship literature, the authors uncover a context where entrepreneurs' characteristics are relevant predictors of early entrepreneurial outcomes.

Results showed core self-evaluations as a robust predictor of perceived success in nascent entrepreneurs. Administrators of pre-venture assistance programs should consider screening applicants to programs designed to assist nascent entrepreneurial opportunity development for signs of high core self-evaluations.

This study advances theory by (1) demonstrating the value of assessing nascent entrepreneurs' core self-evaluations as a specific predictor of early-stage entrepreneurial outcomes, (2) suggesting social interaction amidst participation in pre-venture assistance programs makes commitment a salient part of perceived success and (3) providing evidence that entrepreneur-level characteristics need consideration in the context of nascent entrepreneurship and pre-venture assistance programs.