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Digitalization, innovation and changing customer requirements drive the continuous improvement of an organization's business processes. IT demand management (ITDM) as a methodology supports the holistic governance of IT and the corresponding business process change (BPC), by allocating resources to meet a company's requirements and strategic objectives. As ITDM decision-makers are not fully aware of how the as-is business processes operate and interact, making informed decisions that positively impact the to-be process is a key challenge.

In this paper, the authors address this challenge by developing a novel approach that integrates process mining and ITDM. To this end, the authors conduct an action research study where the researchers participated in the design, creation and evaluation of the approach. The proposed approach is illustrated using two sample demands of an insurance claims process. These demands are used to construct the artefact in multiple research circles and to validate the approach in practice. The authors applied learning and reflection methods for incrementally adjusting this study’s approach.

The study shows that the utilization of process mining activities during process changes on an operational level contributes to (1) increasing accuracy and efficiency of ITDM; (2) timely identification of potential risks and dependencies and (3) support of testing and acceptance of IT demands.

The implementation of this study’s approach improved ITDM practice. It appropriately addressed the information needs of decision-makers and unveiled the effects and consequences of process changes. Furthermore, providing a clearer picture of the process dependencies clarified the responsibilities and the interfaces at the intra- and inter-process level.

This paper introduces a new mathematical model for analyzing the economic benefits of incorporating the fourth party logistics (4PL), which is a contractor (i.e. agent) for the supply chain coordination and construction based on the division of community and the outsourcing development. Based on the physical theory and the wave-particle duality, a supply chain is the special organization whose characteristic has wave-particle duality. The mathematical model enriches the connotation of 4PL and it broadens the thought for 4PL development. Secondly, the proposed mathematical model predicated on transaction costs, is supported by Transaction Cost Theory (TCT) and acts as the theoretical analysis tool of 4PL for coordinating 3-party generic supply chain. Through the model, some trendy conclusions can be drawn to provide theoretical support for 4PL’s practices. Finally, a case illustrates our conclusions.

Over the past four decades, China has strived to make the market mechanism play a decisive role in resource allocation under the conditions of adhering to the basic socialist economic system. The paper aims to discuss this issue.

On this matter, this paper proposes a three-phase transition hypothesis for the Chinese institutional change models, namely, a de facto path, which gives potential to a successful incremental transition of a centralized country from planned economy to a market economy, lies in the incremental transitions of the institutional change models from a supply-oriented model at initial reform to a middle-proliferation model and to a demand-induced model along with the gradual establishment of exclusive property rights, thereby completing the transition to a socialist-market-economic system.

The Chinese economic model’s unique connotation is the reason why the solution to this model often baffles both the traditional political-economic logic and western mainstream institutional change theory.

This hypothesis corroborates that China’s unswerving practice of economic reform has provided unprecedented opportunities and challenges for the development of economic theory. The Chinese model constitutes the source of innovation for the subject of Economics with Chinese Studies.

Adaptation to the requirements of digital economy is especially difficult for older workers, which is a challenge for today’s organizations due to workforce shrinking and ageing. Therefore, the purpose of this paper is to investigate how it is possible to develop older employees’ potential in technology use in the business environment.

The authors examined how employees at various age perceive barriers during enterprise system (ES) adoption and use. This exploratory study is based on grounded theory and draws from the opinions of 187 Polish ES practitioners.

With age, emphasis on employees’ perception of mandatory ICT implementation projects is shifting from technology to people-related considerations. For older employees, job security and workload appear the most critical issues in such projects. Age-diverse collaboration appears necessary to address the problems posed by technology-related and demographic changes.

The findings imply that incorporating multiple stakeholder perspectives and age-related considerations into research on ICT adoption appears essential.

ICT adoption in the business environment can be successfully supported by age-balanced team building, cooperation between younger and older employees, and age-adjusted change management initiatives.

Supporting older employees during the implementation of mandatory business software should embrace reducing their negative attitudes to ICT-induced change by minimizing their perception of job insecurity.

Unlike many prior studies, the current research places age in the central role and discusses not only how it is possible to support older employees, but also how to leverage their potential in the process of ICT adoption and use in a mandatory setting.

This study aims to determine the status and conditions of small and medium enterprises (SMEs) as predictors in empowering the rural communities of Samar Island, Philippines. Specifically, it aimed to describe SMEs’ organizational variables, and assess their conditions in terms of membership/ownership structure; leadership; policies, systems and procedures; resource mobilization; linkages and networking; communication systems; and awards and recognition; determine the level of empowerment of rural communities with SMEs along the aspects of material, perceptual and relational changes; and find out whether significant relationship exist between the organizational variables and the level of empowerment.

The study is a descriptive survey that utilized structured survey questionnaires, personal interviews and dialogues with the respondents in the actual data collection. The survey involved 18 SMEs from the rural communities of the 12 municipalities from the 3 provinces of Samar Island, as study samples – 6 coming from each province with 2 SMEs in every sub-sector of trading, manufacturing and services. Out of 270 respondents, 256 (94.81 per cent) responded. All statistics were computed using the SPSS computer software.

The organizational variables of the SMEs such as membership and ownership structure, leadership, policies, systems and procedures, resource mobilization, linkages and networking, communication systems and awards and recognition were assessed to be all “good” and were found to have significant relationship with the level of empowerment of rural communities with SMEs.

The rural communities with SMEs were empowered along the aspects of material, perceptual and relational changes. The result of the study indicated that through SMEs, rural people experienced changes in their lives. The test about the relationship of the organizational variables such as nature and ownership of business enterprise, leadership, policies, systems and procedures, resource mobilization, linkages and networking, communication systems and awards and recognition and the level of empowerment of rural communities as determined by changes in the material, perceptual and relational aspects of rural life proved to have significant relationships.

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.

This paper aims to investigate the motivations of social entrepreneurs in East Africa to create a social enterprise and their identified links to successful social entrepreneurship in East Africa.

The authors employed a qualitative method by performing thematic analysis on a set of interviews on social entrepreneurs from East Africa who are Ashoka fellows.

The findings suggest that intense personal experiences linked to past-life events as well as a high achievement orientation towards improving livelihoods and creating impact serve as key triggers for social entrepreneurship. Successful entrepreneurship focusses on system change at national and local levels. Their success is also seen when the social entrepreneurs have achieved their mission and are no longer needed; thus, they become irrelevant. The paper discusses the implications of these findings on the model used for sustainable social entrepreneurship in East Africa.

Based on an exploratory research on Ashoka fellows, the study adds insight to their motivations and success which can be used in a wider scale study of the same.

The authors advance the scarce empirical research on East African social entrepreneurs, link success factors of social entrepreneurship to a recent framework on motivation to engage in social entrepreneurship and stimulate further research in the area. The study contributes to the literature on social entrepreneurship by linking success factors of social entrepreneurship to a recent framework on motivation to engage in social entrepreneurship.

Currently, China’s economy is in the critical phase of transforming economic development patterns and replacing old growth drivers with new ones. Whether it can successfully overcome the “middle-income trap” has become a significant issue attracting wide attention.

Driven by underlying digital technologies such as artificial intelligence, blockchain, cloud computing and big data, the fourth industrial revolution featuring the booming digital economy has provided significant opportunities for China’s economy to “overtake” and overcome the “middle-income trap”. The transformation of economic development pattern, the optimization of industrial structure, and the change of growth drivers, brought by the deep integration of digital and real economies are the keys to leaping over the “middle-income trap”.

From the supply side, the digital economy can improve the quality and efficiency of the supply side and promote the supply-side structural reform and economic growth from the following three aspects: First, promote the quality, efficiency and diversification of the supply system; second, promote networking, opening-up and synergy in the innovation system and third, promote the socialization, modularization and flexibility of production pattern. From the demand side, the digital economy can boost the new drivers of the “troika” of economic growth consisting of consumption, exports and investment by changing the market investment direction, promoting consumption upgrade and fostering export strengths. However, once these two attributes interact with each other, especially when data is combined with capital, the most adhesive factor in the market economy, a series of new social relations will then be produced based on the technical attribute, resulting in significant adjustments in social relations, involving both positive and negative externalities.

To overcome the “middle-income trap”, it is necessary to adapt to the laws of economic evolution and promote a fundamental change in economic growth drivers; boost the high-quality development of the digital economy by strengthening the support role of data in the digital economy; and accelerate digital industrialization and industrial digitalization to realize the integration of digital and real economies.