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Regulatory initiatives and related technological shifts have been imposing restrictions on data-driven marketing (DDM) practices. This paper aims to find the main restrictions for DDM and the key management theories applied to investigate the consequences of these restrictions.

The authors conducted a unified bibliometric analysis with 104 publications retrieved from both Scopus and Web of Science, followed by a qualitative, in-depth systematic literature review to identify the management theories in literature and inform a research agenda.

The fragmentation of the research outcomes was overcome by the identification of 3 main clusters and 11 management theories that structured 18 questions for future research.

To the best of the authors’ knowledge, this paper sets for the first time a frontier between almost three decades where DDM evolved with no significative restrictions, grounded on innovations and market autoregulation, and an era where data privacy, anti-trust and competition and data sovereignty regulations converge to impose structural changes, requiring scholars and practitioners to rethink the roles of data at the strategic level of the firm.

With the rapid development of the service industry, service innovation has gradually become a hot topic in business today. How to further improve employees' service innovative behaviors has become critical to organizations' survival and success. Servant leadership, as a leadership style characterized by serving others, is closely related to employees' service innovative behaviors. Therefore, the purpose of this study is to develop a theoretical framework to examine the influence of servant leadership on employees' service innovative behavior, the mediating role of intrinsic motivation and the moderating role of identification with the leader.

To test the theoretical model, a multi-time survey method was used to collect data from 381employees from a large high-tech company in Mainland China.

The results confirm that servant leadership can promote employees' service innovative behavior and intrinsic motivation. Meanwhile, employees' intrinsic motivation partly mediates the influence of servant leadership on their service innovative behavior. Moreover, this mediating relationship is conditional on the moderating role of individual identification with the leader in the path from servant leadership to individual intrinsic motivation.

The key limitation of this study lies in the representativeness of sample data, which is the convenience of non-probability sampling and self-reported data only from a large high-tech company in China.

This study not only further verified a promotion factor of individual service innovative behavior from the perspective of leader influence, but also enriched the understanding of the positive influence of servant leadership on employees.

This study is the first to examine the relationships among servant leadership, employees' intrinsic motivation, identification with the leader and service innovative behavior. The results may help to open the “black box” of the relationship between servant leadership and employees' service innovative behavior by introducing their intrinsic motivation. The conclusions also indicate employees' identification with the leader is an important boundary condition among their relationships. Particularly, it not only moderates the relationship between servant leadership and intrinsic motivation, but also moderates the mediating role of intrinsic motivation.

This study aims to assesses the factors that affected the development of cloud-based accounting education (DCBAE) and students' academic performance at Oman Universities.

In this paper a questionnaire was used to collect data for a sample of students. Partial least squares (PLS) were used to assess the hypotheses and model.

Results indicate that human factors and cultural and social factors have a direct positive effect on the DCBAE and students' academic performance.

This study is carried out after five semesters since the beginning of the COVID-19 pandemic. Thus, it can help universities (accounting education in particular) in the Sultanate of Oman know the factors that affect the development of accounting education and adopt policies and strategies that depend on cloud computing in education operations, even after the COVID-19 pandemic.

The main contribution of this study is to evaluate the factors that affected the DCBAE and the academic performance of students in the Sultanate of Oman from March 15, 2020 to June 2022, a period that witnessed the application of cloud-based education, either in whole or in part using a questionnaire about the opinions of students.

The paper aims to clarify the operation rationality of high speed trains (HSTs) under tunnel condition with the speed of 400 km/h through representative aerodynamic factors including running drag, eardrum comfort, carriages noise, aerodynamic loads on tunnel ancillary facilities and HST, micro-pressure waves, and then put forward engineering suggestions for higher speed tunnel operation based on the analysis.

Based on the field measurement data of CR400AF-C and CR400BF-J tunnel operation, correlations between each aerodynamic indicators with HST speed were established. By analyzing the safety reserve of aerodynamic indicators at 350 km/h and the sensitivity of each indicator to HST speed increasing and the indicators’ formation mechanism, the coupling relationship between various indicators was obtained.

The sensitivity of different aerodynamic indicators to speed variation differed. The aerodynamic indicators representing flow field around HST showed a linear relationship with HST speed including noise, eardrum comfort, aerodynamic load on HST body. The positive aerodynamic load on tunnel auxiliary facilities and the micro-pressure wave at the entrance of the tunnel have the same sensitivity to the 3th-power relation of HST speed. The over-limit proportion of micro-pressure wave was the highest among the indicators, and aerodynamic buffering measures were recommended for optimization. The open tunnel pressure relief structure is recommended, while allowing trains to pass through the tunnel at an unconditional speed of 380 km/h.

Comprehensive evaluation of multiple aerodynamic indicators for HST tunnel operation with higher speeds was realized. The main engineering requirements to release aerodynamic effect were identified and the optimization scheme is proposed.