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This research studies the development of the evolving dynamic system model and explores the important elements or factors and what detailed attributes are the main influences model in achieving the success of a business, industry and management. It also identifies the real and major differences between static and dynamic business management models and the detailed factors that influence them. Later, this research investigates the benefits/advantages and limitations/disadvantages of some research studies. The studies conducted in this research put more emphasis on the capabilities of system dynamics (SD) in modeling and the ability to measure, analyse and capture problems in business, industry, manufacturing etc.

The research presented in this work is a qualitative research based on a literature review. Publicly available research publications and reports have been used to create a research foundation, identify the research gaps and develop new analyses from the comparative studies. As the literature review progressed, the scope of the literature search was further narrowed down to the development of SD models. Often, references to certain selected literature have been examined to find other relevant literature. To do so, a supporting tool (that connects related articles) provided by Google Scholar, Scopus, and particular journals has been used.

The dynamic business and management model is very different from the static business model in complexity, formality, flexibility, capturing, relationships, advantages, innovation model, new goals, updated information, perspective and problem-solving abilities. The initial approach of a static system was applied in the canvas business model, but further developments can be continued with a dynamic system approach.

Based on this study, which shows that businesses are developing more towards digitalisation, wanting the ability to keep up with the era that is moving so fast and the desire to increase profits, an instrument is needed that can help describe the difficulties of the needs and developments of the future world. This instrument, or tool of SD, is also expected to assist in drawing future models and in building a business with complex variables that can be predicted from the beginning.

This study will contribute to the SD study for many business incubator research studies. Many practical in business incubator management to have a benefit how to achieve the business performance management (BPM) in SD review.

The significant differences between static and dynamics to be used for business research and strategic performance management. This comparative study analyses some SD models from many authors worldwide. Their goals behind their strategic business models and encounter for their respective progress.

There is a growing importance of business intelligence systems (BIS) adoption in today’s digital economy age which is characterized by uncertainty and ambiguity considering the magnitude and influence of data-related issues to be solved in contemporary businesses. This study aims to investigate critical success factors that affect business intelligence efficiency based on the DeLone and McLean model in Jordanian banking industry.

A quantitative research method through a questionnaire was used to collect data from actual users who depend on business intelligence tools to make operational and strategic decisions in Jordanian banks. The data obtained were tested using the partial least squares–structural equation modeling approach.

The survey findings attest that system quality, information quality, user quality, user satisfaction and user performance are important factors and contribute to business intelligence efficiency in the Jordanian banking industry.

The findings gained from this work can help policymakers in Jordanian banks to improve the business intelligence success and organizational performance.

To the best of the authors’ knowledge, this study is the first of its kind to propose a theoretical model to assess drivers of BIS efficiency from the Jordanian banks’ perspective.

Despite the increasing role of the data warehouse as a supportive decision-making tool in today's business world, academic research for measuring its effectiveness has been lacking. This paucity of academic interest stimulated us to evaluate data warehousing effectiveness in the organizational context of Jordanian banks.

This paper develops a theoretical model specific to the data warehouse system domain that builds on the DeLone and McLean model. The model is empirically tested by means of structural equation modelling applying the partial least squares approach and using data collected in a survey questionnaire from 127 respondents at Jordanian banks.

Empirical data analysis supported that data quality, system quality, user satisfaction, individual benefits and organizational benefits have made strong contributions to data warehousing effectiveness in our organizational data context.

The results provide a better understanding of the data warehouse effectiveness and its importance in enabling the Jordanian banks to be competitive.

This study is indeed one of the first empirical attempts to measure data warehouse system effectiveness and the first of its kind in an emerging country such as Jordan.

This paper aims to theoretically and empirically demonstrate the role played by business continuity management (BCM) to address risks such as trade conflicts and natural disasters. This paper also answers whether compliance with international standards such as the International Organization for Standardization (ISO) 22301 is adequate.

A case study of Chinese telecommunications giant Huawei is conducted to examine how a robust end-to-end BCM system has been established in two decades and in what way it has helped Huawei to efficiently maintain growth under pressure, such as being added to the “Entity List” and the pandemic.

Huawei case contributes to BCM theory in its approach to establishing the BCM system and its well-established BCM model. Huawei establishes and continually improves its BCM system by applying the Plan (establish), Do (implement and operate), Check (monitor and review) and Act (maintain and improve) cycle. Characterized as 4Ps: BCM policy, BCM process, incident management plan and business continuity plan, Huawei BCM system is shaped into a loop with end-to-end BCM process, covering all steps along its value chain – from suppliers and partners to Huawei itself and then on to its customers – with key initiatives for all domains such as R&D, procurement, manufacturing, logistics and global technical services. In practice, implementing international standards such as ISO 22301 enables Huawei to develop business continuity but not enough. Optimizing the BCM system is an ongoing effort, and BCM maturity is ever present: continually improving Huawei’s own BCM system and benchmarking against best practices available worldwide.

Apart from the case study, other methods such as counter-factual analysis can be used to further test whether Huawei’s BCM system is cost-effective. Another direction for future study is whether suggested BCM maturity levels should be supplemented into ISO 22301. In the digital age, how to use digitalization to ensure business continuity is a current issue not just for practitioners such as Huawei but also for researchers worldwide.

In practice, implementing international standards such as ISO 22301 enables Huawei to develop business continuity but not enough. Optimizing the BCM system is an ongoing effort, and BCM maturity is ever present: continually improving Huawei’s own BCM system and benchmarking against best practices available worldwide.

To the best of the authors’ knowledge, this is one of the first studies to focus on how an organization continually improves the suitability, adequacy and effectiveness of its BCM system, with special attention to standards compliance.

While companies worldwide are largely comprised of small and medium-sized enterprises (SMEs), a significant amount of management accounting (MA) research focuses on larger organisations, thus leaving MA practice in SMEs relatively under-researched. This paper aims to examine MA adoption (MAA) and its interfaces with MA challenges and business performance from a small business perspective.

A sample of 502 small businesses is investigated with an embedded mixed methods research design comprised of qualitative content analysis, factor analysis and analysis of variance.

Up to 78% of small businesses are facing MA challenges that stem from organisation, systems, personnel and/or resources. Based on the present findings, MA challenges do motivate small businesses to at least consider investing in MAA as small businesses facing challenges are more likely to acquire systems and services than those reporting no issues at all. Hence, small business managers seem to not only recognise where their challenges lie, but also seek ways to improve the situation through MAA. The analysis also reveals that companies with the highest MA know-how have the best average solvency, suggesting that small businesses indeed benefit from MAA. Interestingly, the performance at medium levels of know-how declines while investments increase, revealing a “decreasing solvency phenomenon”. Potential explanations are, e.g. the MA not fitting the company’s exact needs, or information usability and use being limited by poor MA understanding.

The originality of the research lies in exploring the interfaces between MA challenges, MAA and small business performance using distinctive embedded mixed methods research design.

The paper aims to present a framework for integrating the concepts of business continuity and business resilience with the aim of developing a concept of always-on business.

Literature review, conceptual and case-based.

A conceptual model for integrated “always-on business” solution based on continuous comouting technologies, business continuity, disaster recovery, IT/business resilience and several organational frameworks.

Presented framework can be used for integrating business continuity and business resilience in modern digital age; and transforming business systems into “always-on business”.

A crucial question still remains unanswered as to whether data analytics-oriented business intelligence (hereafter, BI) technologies can bring organizational value and benefits. Thereby, several researchers called for further empirical research to extend the limited knowledge in this critical area. In an attempt to deal with this issue, we presented and tested a theoretical model to assess BI effectiveness at the organizational benefits level in this research article.

The suggested research model expands the application of the DeLone and McLean model in BI technology success or effectiveness research from individual level to organizational level. A cross-sectional survey is developed to obtain primary quantitative data from business and technology managers who are depending on BI technologies to make operational, technical and strategic decisions in Jordanian-listed firms.

Empirical findings show that system quality, information quality and training quality are significant predictors of user satisfaction, but not of perceived benefit. Data quality was found to be a strong predictor of both perceived benefit and user satisfaction. The influence of perceived benefit on user satisfaction was significant in turn both factors positively affect organizational benefits.

This research paper is a pioneering effort to assess BI technology effectiveness at an organizational level outside the context of developed countries. To the best of the authors’ knowledge, no prior research has combined all dimensions used in this research in one single model.

The purpose of this paper is to examine the factors that influence enterprise resource planning (ERP) effectiveness within the context of emergency service organizations. Drawing on information systems (IS) effectiveness, ERP implementation and job satisfaction literature, the authors posit that user involvement, top management involvement and training satisfaction are the antecedents to perceived job satisfaction, and perceived job satisfaction leads to ERP effectiveness in emergency service organizations.

Survey methodology is used for collecting data for this research, and the PLS-SEM technique is used for analysis.

Results indicate users will be more satisfied with their training if their inputs are taken into account during their training and the top management is actively involved during the training process. Further, if the users perceive that they are adequately trained, they will be more satisfied with their jobs in using ERP, which will also lead to more effective ERP usage in emergency service operations.

The focus of this study is on a single emergency service organization and thus may not be generalizable to other sectors. The authors extend ERP research to the context of emergency service organizations and thus add to the literature on ERP and emergency services. They conceptualize perceived job satisfaction to integrate roles, teamwork, supervisor and their perception regarding their potential to grow in the organization.

The managerial contribution of this research is to identify the motivational aspects and provide practical insights into the effective use of ERP systems for emergency service organizations. From a managerial perspective, the study provides a framework for both IS and emergency service providers/executives to understand and evaluate the factors that help them use ERP effectively in their firms.

This study extends the knowledge of ERP systems. While most of the ERP research focuses on implementation, the authors’ focus is on the effective use of ERP in emergency service organizations. They focus on identifying key factors that are important to using ERP effectively, specifically in emergency service organizations.

Drawing on the theory of goal systems applied to family business this case study focuses on the interdependence between non-economic goals and family goals, in order to identify if and how achieving non-economic goals generates dysfunctional behavioural patterns for family members in the long term.

This study used an inductive, 20-year longitudinal case-study based methodology.

This case study shows how the business family faces ethical/affective dimensions, struggling every day for a balance and often undermining the legitimisation and differentiation of its children. Findings show that the achievement of non-economic goals can occur to the detriment of family goals, such as by generating a dysfunctional system, specifically in business family adaptability.

The principal limitation is that this single case study evidently does not allow for complete generalization of the findings.

This case study makes a contribution to alerting the family business system to the long-term risk they face in trying to simultaneously maintain both harmony/cohesion and ethics/responsibility. Practitioners and consultants are therefore called on to help family firm owners with adopting a strategic vision by considering possible long-term counterfinal (i.e. mutually incompatible) goals.

SMEs are the most widespread type of firm in the world, and consequently dysfunctional behavioural patterns within business families represent a prominent socio-economical problem for policy makers and institutions.

This study shows that, in the long term, that which is perceived to be a desirable goal can transpire to be a dysfunctional pattern. In doing so, this research introduces a new point of view to the literature on goal systems in family business.

Strategic information systems planning (SISP) has been identified as a key strategy underpinning an effective utilization of information systems (IS) to achieve the core objectives of an organization. This study aims at identifying, ranking and prioritizing factors that IS and business executives consider critical for the success of IS projects.

This study adopted a qualitative research approach with a 3-round Delphi process to get experts' opinions on critical success factors (CSFs) necessary for successful SISP. A forty-two panel of experts was selected using defined criteria. Quantitative analyses of the data were performed using Kendall's coefficient of concordance and chi-square to obtain a consensus among the experts.

The findings revealed the top managers' understanding of strategic priorities, aligning IS strategies with the organizational strategic plan and availability of internal resources to deliver IS services as the first three key CSFs of SISP. Other highly ranked CSFs were the management's understanding of the role of IS and the need to educate top management on the importance of IT in supporting the business strategy.

The CSFs factors obtained in this study would lay a foundation for future research and could be incorporated into a new theoretical model of IS planning.