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The purpose of this study is to empirically investigate the relationship between executive shareholding, institutional investor shareholding and corporate innovation, and to further explore in depth the impact of executive shareholding on corporate innovation under different industries.

This paper uses the panel data of A-share listed companies in Shanghai and Shenzhen from 2012 to 2020 as the research sample to empirically study the relationship between executive shareholding, institutional investor shareholding and corporate innovation based on multiple linear regression models and panel fixed effects.

The research shows that: on the whole, the impact of executive shareholding on enterprise innovation presents an inverted “U” shape; institutional investors will negatively regulate the impact of executive shareholding on enterprise innovation; the impact of executive shareholding on enterprise innovation will show obvious industry differences in different industries.

The empirical results not only enrich the research on the effects of institutional investors' involvement in corporate governance practice, but also provide targeted experience for promoting enterprise innovation. Due to the limitations of innovation indicators and industry sample selection, it is necessary to be cautious when extending the results to other fields.

Enterprises should fully consider the impact of executive shareholding on innovation and formulate a scientific executive incentive system according to the differences of their industries. The government should be aware of the important role of institutional investors in enterprises, improve the channels and ways for institutional investors to participate in corporate governance, and improve the basic system of capital markets.

On the one hand, this paper empirically tests the regulatory role of institutional investors' shareholding and the relationship between executive shareholding and enterprise innovation, which enriches the research on the effect of institutional investors' involvement in corporate governance practice. On the other hand, the research by industry is more targeted to provide experience for promoting enterprise innovation.

The purpose of this paper is to describe the interactions between accounting and marketing activities in a Taiwanese telecommunication firm by demonstrating the dramatic impact that improved costing methods had on the firm’s customer portfolio management activities and consequently on the firm’s bottom line.

The paper presents a case study of a firm in the highly competitive telecommunications industry in Taiwan. The case study was constructed by interviewing key individuals within the organization over an extended period and supplementing those reports with an analysis of internal company documents.

The firm dramatically increased profitability through the integration of activity-based costing into their customer portfolio framework requiring marketing and accounting functions to work closely together. In this rapidly evolving market, cost allocation and customer portfolio management are indispensable. Identifying accurate costs and keeping key customers is a critical issue for the case company. While theoretically the approach is simple, in practice considerable hurdles needed to be overcome.

While considerable literature suggests that customer profitability drives the management of an organization’s customer portfolio, critical to the success of such an endeavor is the accurate calculation and allocation of costs to individual customers. As an interdisciplinary study, this paper provides insights for both accounting and marketing highlighting their reliance on each other in a sound firm. The results of this paper will serve as a supplement to past customer portfolio management research as well as a reference for any firm seeking to enhance their approach to portfolio management.

The COVID-19 pandemic has impacted companies both ways, negatively by testing their ability to adapt in uncertain situations and positively by accelerating the adoption of technology systems. One of the new technologies is represented by blockchain which brings decentralised control, transparency between the involved parties, and two-ways security checks on transactions. The Romanian market has been selected to provide an early assessment of the potential the market has on implementing blockchain technology and becoming more transparent within customer and state interactions. As part of the blockchain network, it brings both numerous benefits such as transparency in interactions with other parties and freedom as it is not regulated by any kind of authority yet.

In a diverse society, empathy would intuitively seem to represent a powerful force for social good. In particular, we expect empathic people to tolerate (rather than reject) attitudes that might be different from their own, and to resolve and/or avoid (rather than escalate) potential disagreements with others. Some research supports this benign view of empathy, but somewhat surprisingly, there is a “dark” side to empathy, one that can sometimes exacerbate attitudinal conflict. That is, empathy can often be parochial, in the sense that people are inclined to reserve their compassion for others only when they are deemed to be worthy of such support. In this chapter we review classic and contemporary research on the light and dark side of empathy, and consider its implications for the kinds of dynamics that could potentially emerge when people encounter people and ideas that are different from their own.

In present research work, the effects of rotational speed, feed rate and vibration amplitude have been investigated during novel method of ultrasonic-assisted bone grinding. During dissection of tumors, firstly a bone flap is removed near the target region to create passage for grinding burr. During abrasion, heat is produced, which sometimes increases the temperature to unsafe levels. So, efforts have been made to limit the temperature below the threshold levels of osteonecrosis during bone grinding.

The temperature produced during osteotomy has been measured using infrared thermography camera during the implementation of L18 Taguchi orthogonal array design. Subsequently, main effect plots and contour plots have been presented to analyze and visualize the effect of grinding parameters on temperature rise during bone grinding. Furthermore, the process parameters have been optimized for optimum results for response characteristics using Taguchi SN ratio-based optimization methodology. For multiobjective optimization, the process parameters are further optimized using grey relational analysis.

It is revealed that all three process parameters substantially affect the response characteristics. The proposed optimization methodology is successfully applied on the experimental findings and the optimum results for change in temperature are found to be rotational speed = 3,000 rpm, feed rate = 20 mm/min, amplitude = 10 µm and for standard deviation are 5,000 rpm, 60 mm/min, 10 µm.

The present research findings cannot be generalized, and researchers are encouraged to further investigate the proposed rotary ultrasonic-assisted bone grinding at higher rotational speed up to 60k rpm on the skull bone.

The research on osteotomy is still at its initial phase, and continuous research is carried out for making patients’ life comfortable. In this direction, the authors have proposed a novel osteotomy method to limit the temperature below the threshold limit of osteonecrosis. The outcomes of the present study will be beneficial for the neurosurgeons working in this field.

While it has been claimed in many empirical studies that the political futures market can forecast better than the polls, it is unclear upon which our forecast should be based. Standard practice seems to suggest the use of the closing price of the market, as a reflection of the continuous process of information revealing and aggregation, but we are unsure that this practice applies to thin markets. In this chapter, we propose a number of reconstructions of the price series and use the closing price based on these reconstructed series as the forecast. We then test these ideas by comparing their forecasting performance with the closing price of the original series. It is found that forecasting accuracy can be gained if we use the closing price based on the smoothing series rather than the original series. However, there is no clear advantage by either using more sophisticated smoothing techniques, such as wavelets, or using external information, such as trading volume and duration time. The results show that the median, the simplest smoothing technique, performs rather well when compared with all complications.

This paper proposes a bar‐system graph representation for structural topology optimization using a genetic algorithm (GA).

Based on graph theory, a graph is first used to represent a skeletal structure consisting of joining paths in the design domain, each of which is represented by a chain subgraph with finite number of vertices. Based on the edges of this graph, a bar‐system representation is proposed to define all the bars and the resulting topology is obtained by mapping each bar with its corresponding thickness to the design domain which is discretized into a regular mesh. The design variables are thus reduced to the spatial distribution of the vertices and the thickness of each bar. This method combines the advantages of both continuum and ground structure optimization methods.

The overall procedure is applied to classical structural topology optimization problems and its good performance is illustrated in the numerical examples.

It is suggested that the present representation method is both physically meaningful and computationally effective in the framework of topological optimum design using GAs.

The expansion of the Panama Canal that is completed in 2016 provides container carriers with new opportunities to redeploy global oceangoing trunk routes. The purpose of this paper is to examine the cargo sources and geographical locations of three trunk routes, the departure points of which are all in East Asia.

The operating conditions of various shipping practices were used to simulate trunk route deployment after canal expansion. Subsequently, a clean-line strategy featuring liquefied natural gas (LNG) as a replacement for heavy oil is proposed to explore the effects that container carriers have on energy savings and emission reductions.

The results showed that the unit emissions of ships traveling trunk routes in East Coast North America and East Coast South America did not differ significantly regardless of whether the container carrier employed a conventional method or the new deployment plan following the expansion of the Panama Canal. By contrast, the adoption of a new method for sailing through the canal yields significant emission reductions for Far East/Europe routes. In addition, the slow-steam strategy adopted by carriers and the more costly clean-line strategy of LNG-fueled ships are both effective when applied to trunk routes.

The results of this study provide a reference to container carriers deploying route structures and the International Maritime Organization when promoting emission-reduction policies.

The purpose of this paper is to study the components and service standards of delightful service by conducting a comprehensive literature review and applying the Delphi survey method.

This study conducted a three-round Delphi survey to consolidate the experience of 11 experts in implementing delightful service. To ensure the recruitment of experts who were knowledgeable in delightful service delivery, the panellists were chosen from service- and hospitality-related industries; the respondents were hotel managers, senior frontline service personnel and academic educators who were knowledgeable in both the service industry and service innovation.

By integrating professional experiences from both academics and hotel practitioners, we conclude that hotel facilities and amenities, environment and ambiance design and service personnel’s service delivery practices are essential elements for creating a unique and unforgettable consumer experience. Distinctive hotel facilities and ambiance provide a unique experience, which can leave memorable impressions on customers. Being able to detect customers’ emotional conditions and hidden needs through attentive and proactive service practice and providing attentive and customized service are pivotal for service personnel. Advanced service performance enables attending to customers’ personal well-being and caring for their unique needs effectively. The proposed standard for service provision exceeds customer expectations.

First, the number of panellists was low, limiting the generalizability of the results. Future studies should increase the number of panellists. Second, this study focused only on the hotel industry in Taiwan. The results may not be generalizable to other hospitality industries or other countries. Future studies can duplicate this study in other hospitality industries and in other countries to broaden the understating of the elements and service standards of delightful service.

The results of this study provide a practical guideline for implementing delightful service. Hotel practitioners are advised to increase the degree of refinement, variety and attentiveness of their facilities and amenities; use sensory elements in their hotel environment and ambiance design; and advance staff members’ service skills to be more proactive, attentive, empathetic and customer-oriented. Carefully designing the core product and advancing the service delivery style can provide hotel guests with an exceptional and unique lodging experience, thus achieving delight.

This study provides a comprehensive understanding of the implementation of delightful service.

In the running of multiple automated guided vehicles (AGVs) in warehouses, delay problems in motions happen unavoidably as there might exist some disabled components of robots, the instability of networks and the interference of people walking. Under this case, robots would not follow the designed paths and the coupled relationship between temporal and space domain for paths is broken. And there is no doubt that other robots are disturbed by the ones where delays happen. Finally, this brings about chaos or even breakdown of the whole system. Therefore, taking the delay disturbance into consideration in the path planning of multiple robots is an issue worthy of attention and research.

This paper proposes a prioritized path planning algorithm based on time windows to solve the delay problems of multiple AGVs. The architecture is a unity consisting of three components which are focused on scheduling AGVs under normal operations, delays of AGVs, and recovery of AGVs. In the components of scheduling AGVs under normal operations and recovery, this paper adopts a dynamic routing method based on time windows to ensure the coordination of multiple AGVs and efficient completion of tasks. In the component for scheduling AGVs under delays, a dynamical prioritized local path planning algorithm based on time windows is designed to solve delay problems. The introduced planning principle of time windows would enable the algorithm to plan new solutions of trajectories for multiple AGVs, which could lower the makespan. At the same time, the real-time performance is acceptable based on the planning principle which stipulates the parameters of local time windows to ensure that the computation of the designed algorithm would not be too large.

The simulation results demonstrate that the proposed algorithm is more efficient than the state-of-the-art method based on homotopy classes, which aims at solving the delay problems. What is more, it is validated that the proposed algorithm can achieve the acceptable real-time performance for the scheduling in warehousing applications.

By introducing the planning principle and generating delay space and local adjustable paths, the proposed algorithm in this paper can not only solve the delay problems in real time, but also lower the makespan compared with the previous method. The designed algorithm guarantees the scheduling of multiple AGVs with delay disturbance and enhances the robustness of the scheduling algorithm in multi-AGV system.