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The business operations of today's enterprises are heavily influenced by numerous of internal and external business events. With the Event Driven Architecture and particularly the Complex Event Processing (CEP), the technology required for identifying complex correlations in these large amounts of event data right after its appearance has already emerged. The resulting gain in operational transparency builds the foundation for (near) real-time reactions. This motivated extensive research activities especially in the field of Business Process Management (BPM), which essentially coined the term Event-Driven BPM (EDBPM). Now, several years after the advent of this new concept, the purpose of this paper is to shed light to the question: where are we now on our way towards a sophisticated adoption of the CEP technology within BPM?

The research methodology of this paper is a structured literature analysis. It basically follows the procedure proposed by vom Brocke et al. (2009). This verified five-step process – entitled “Reconstructing the giant” – allowed a rigorous study. As a result, various research clusters were derived, whose state-of-the-art exposed existing research gaps within EDBPM.

First of all, the paper provides a concise conceptual basis on different application possibilities of EDBPM. Afterwards, it synthesizes current research into six clusters and highlights most significant work within them. Finally, a research agenda is proposed to tackle existing research gaps to pave the way towards fully realizing the potentials of the paradigm.

So far, a comparable study of the current state-of-the-art within EDBPM is non-existent. The findings of this paper, e.g. the proposed research agenda, help scholars to focus their research efforts on specific aspects that need to be considered in order to advance the adoption of the CEP technology within BPM.

This study examines the impact of board composition and ownership structure variables on dividend payout policy in Saudi Arabian firms. In particular, it aims to determine the effect of board size, independence and meeting frequency, in addition to chief executive officer (CEO) duality, and state, institutional, managerial, family, and foreign ownership on both the propensity to pay dividends and dividend per share for Saudi-listed firms over the period 2016–2019.

The paper captures dividend policy with two measures, propensity to pay dividends and dividend per share, and employs a range of regression methods (logistic, probit, ordinary least squares (OLS) and random effects regressions) along with a two-stage least squares (2SLS) model for robustness to account for heteroscedasticity, serial correlation and endogeneity issues. The data set is a large panel of 280 Saudi-listed firms over the period 2016 to 2019.

The results underline the importance of board composition and the ownership structure in explaining variations in dividend policy across Saudi firms. More specifically, there is a positive relationship between the propensity to pay dividends and board-meeting frequency, institutional ownership, firm profitability and firm age, while the degree of board independence, firm size and leverage exhibit a negative relation. Further, dividend per share is positively related to board meeting frequency, institutional ownership, foreign ownership, firm profitability and age, while it is negatively related to CEO duality, managerial ownership, and firm leverage. There is no evidence that family ownership exerts an impact on dividend payout policy in Saudi firms. The findings of this study support agency, signalling, substitute and outcome theories of dividend policy.

This study offers an important insight into the board characteristic and ownership structure drivers of dividend policy in the context of an emerging market. Moreover, the study has important implications for firms, managers, investors, policymakers, and regulators in Saudi Arabia.

This paper contributes to the existing literature by providing evidence on four board and five ownership characteristic drivers of dividend policy in Saudi Arabia as an emerging stock market, thereby improving on less comprehensive previous studies. The study recommends that investors consider board composition and ownership structure characteristics of firms as key drivers of dividend policy when making stock investment decisions to inform them about the propensity of investee firms to pay dividends and maintain a given dividend policy.

The study examines organizational security culture as the driver of supply chain security (SCS) practices (information management security, facility management security and human resource security). Additionally, the study examines the minimization of occurrence of supply chain disruption as the outcome of SCS practices.

A research model grounded on the contingency theory and the dynamic capabilities theory was developed and tested using partial least squares structural equation modelling (PLS-SEM). Data was obtained from 110 manufacturing and service firms in Ghana.

It was revealed that organizational security culture has a positive and a significant impact on information management security, facility management security and human resource security as hypothesized. In addition, facility management security significantly minimized supply chain disruption occurrence as hypothesized but information management security and human resource security did not.

To the best of the researchers' knowledge, this is the first study that examines organizational security culture as the driver of SCS practices. Additionally, the study is novel in examining the interplay between organizational security culture, SCS practices and supply chain disruption.

The purpose of this paper is to develop a greater understanding of the effect of innovation leadership (participative, supportive, and instrumental) on supervisory-rated employee creativity through greater employee regulatory focus (i.e. promotion and prevention).

Data were collected from dyads of 103 employees and employee supervisors working in Taiwan’s high-tech industry. A structural equation modelling approach was used to examine the relationship posited in this study.

Results reveal that both participative and supportive leadership are positively associated with the creativity of supervisory-rated subordinates when those subordinates adopted a focus on promotion. The data also show that these relationships are partially mediated by employee promotion focus. At the same time, the positive relationship between instrumental leadership and employee creativity is fully mediated by employee prevention focus.

The results of this study show that participative and supportive leaders cultivate employee promotion focus, which then enhances employee creativity. Instrumental leaders will induce employee prevention focus, which also enhances employee creativity. These findings imply that when enhancing employee creativity, employees with a promotion focus are more suited to participative and supportive leaders, while employees who do not have a promotion focus may be more suited to leaders who provide these employees with specific instructions on the rules, regulations, and procedures to follow to accomplish given tasks and common goals.

In the gift industry, there are many large enterprises with strong brand image, customer loyalty, marketing, or service, and they are also rich in retail channels and resources. In this situation, how can brand‐new or small companies thrive in a competitive market? The purpose of this paper is to present a case study from the experiences in Taiwan.

The paper uses intensive interviews with company managers; considers the opinions of experts; and collects useful historical data for analysis.

The paper summarizes eight key success factors for Franz: products and places; unique technology and process; unique business model; cost control capability; high growth in the gift market and popularity of orientalism; access to clients; small organizations; and human resources.

An intensive interview is a kind of oral questionnaire. The interviewee responds to the questions in his/her own way to provide significant answers but this may be considered too subjective.

In order to launch a global brand in the shortest time possible through open innovation strategy, some basic prerequisites need to be met. This must be achieved by creating an open company culture fostering the sharing of ideas and promoting innovative and creative skills, along with flexible management strategies leading to a flat organization structure. Only with the existence of such prerequisites an open innovation system can be integrated properly.

Franz is a classic example of Taiwan's brand‐new companies, which accumulate original equipment manufacturer, original design manufacturer, and own branding and manufacturing experience to succeed in their chosen market.

Big data and predictive analytics (BDPA) has received great attention in terms of its role in making business decisions. However, current knowledge on BDPA regarding how it might link organizational capabilities and organizational performance (OP) remains unclear. Drawing from the resource-based view, the purpose of this paper is to propose a model to examine how information technology (IT) deployment (i.e. strategic IT flexibility, business–BDPA partnership and business–BDPA alignment) and HR capabilities affect OP through BDPA.

To test the proposed hypotheses, structural equation modeling is applied on survey data collected from 159 Indian firms.

The results show that BDPA diffusion mediates the influence of IT deployment and HR capabilities on OP. In addition, there is a direct effect of IT deployment and HR capabilities on BDPA diffusion, which also has a direct relationship with OP.

Through this study, authors demonstrate that IT deployment and HR capabilities have an indirect impact on OP through BDPA diffusion.

Directly printing molten metal droplets on a build platform to create full dense metal parts is a promising additive manufacturing process. This study aims of to analyse the effects of the thermal conditions on the resulting tensile properties of parts made from aluminium 4047A built in droplet-based metal printing.

A drop-on-demand print head with pneumatic actuation is used to eject droplets on a nickel sheet mounted on the heated build platform. Tensile specimens are machined from cuboid blocks built by successive droplet deposition and tested in a universal testing machine. The ultimate tensile strength, uniform elongation and yield strength are evaluated and presented. Micro-sections are taken from the printed blocks to examine the internal pores and the metal’s microstructure.

With an increase in the interface temperature the uniform elongation increases from 0.5 to 12%, while the yield strength decreases from 130 to 90 MPa. The ultimate tensile strength increases from 130 MPa to a maximum of 190 MPa at an interface temperature of 530º C and slightly falls for higher interface temperatures. Those values are in the same range as conventionally casted parts of the same alloy. The authors’ hypothesis is that the main effect responsible for the mechanical properties is the wetting of solid material by the liquid droplet and not remelting, as has been reported in literature.

To the best of the authors’ knowledge, this is the first time that mechanical properties of aluminium 4047A built by a droplet-based additive manufacturing process are published for different interface temperatures. It is also the first time that the main effect on mechanical properties is attributed to wetting instead of remelting.

This study aims to assess the use of variational quantum imaginary time evolution for solving partial differential equations using real-amplitude ansätze with full circular entangling layers. A graphical mapping technique for encoding impulse functions is also proposed.

The Smoluchowski equation, including the Derjaguin–Landau–Verwey–Overbeek potential energy, is solved to simulate colloidal deposition on a planar wall. The performance of different types of entangling layers and over-parameterization is evaluated.

Colloidal transport can be modelled adequately with variational quantum simulations. Full circular entangling layers with real-amplitude ansätze lead to higher-fidelity solutions. In most cases, the proposed graphical mapping technique requires only a single bit-flip with a parametric gate. Over-parameterization is necessary to satisfy certain physical boundary conditions, and higher-order time-stepping reduces norm errors.

Variational quantum simulation can solve partial differential equations using near-term quantum devices. The proposed graphical mapping technique could potentially aid quantum simulations for certain applications.

This study shows a concrete application of variational quantum simulation methods in solving practically relevant partial differential equations. It also provides insight into the performance of different types of entangling layers and over-parameterization. The proposed graphical mapping technique could be valuable for quantum simulation implementations. The findings contribute to the growing body of research on using variational quantum simulations for solving partial differential equations.

This study aims to identify the dimensions used by young consumers to evaluate effective online influencers; determine the impact of demographic segmentation – that is, gender, behavioral segmentation and whether young consumers often follow the advice of online influencers to make a purchase – on the evaluative dimensions. The results will inform advertisers regarding the types of online influencers that they should feature to endorse their products to create desirable promotion effects.

This study adopted a multistage method. This study first conducted eight focus groups with 48 participants between 18 and 24 years of age to explore their evaluation of online influencers. This study then conducted a survey with a questionnaire developed from the focus group results. This study used convenience sampling and administered the questionnaire to 475 participants (mean age, 19.5 years).

The results of factor analysis revealed seven dimensions used by young consumers to evaluate online influencers. The most salient dimensions were credibility, appearance and content production techniques. The results of t-testing also show that gender and behavioral segmentation variables had an impact on these evaluative dimensions in the four tested product categories.

This study provides advertisers with a set of criteria to select appropriate online influencers in various advertising settings, such as the promotion of gender-specific products, and in various product categories that target young consumer markets.

To the best of the authors’ knowledge, this is the first study to examine the dimensions used by young consumers to evaluative online influencers in relation to product endorsement.