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In an attempt to promote sport employees’ well-being, the purpose of this paper is to examine the more traditional constructs of psychological capital (i.e. hope, efficacy, resiliency and optimism) and to feature the inclusion of authenticity, an often overlooked construct, among sport employees.

This conceptual paper is designed to create an expanded sport employee psychological capital construct, labeled A-HERO, and a subsequent theoretical model to improve their well-being.

In detailing a conceptual model of A-HERO for well-being, the model includes and explains the relationships among sport employee antecedents (i.e. sport employee identification, pride and passion), an organizational contextual variable (person–organization fit), and an important employee and organizational outcome (i.e. employee well-being) in contemporary sport organizations.

A-HERO offers a necessary first step for future theoretical research and empirical applications to improve sport employees’ well-being.

By elucidating the role of authenticity at work with traditional psychological capital constructs in the current sport industry, this paper stimulates sport business and management scholars to validate empirically the A-HERO construct and examine proposed relationships for an improved prediction of sport employees’ well-being.

The study aims to find new anticorrosive components from a plant source, namely, Pachysandra terminalis Sieb. et Zucc. (P. terminalis), a traditional medicinal shrub predominantly used by Tujia people.

Because phenolic components from plants are known for its numerous values in several fields, the corrosion inhibitive ability of P. terminalis extract was analyzed by electrochemical studies (polarization, electrochemical impedance spectroscopy) and surface examination (by scanning electron microscopy [SEM], energy-dispersive X-ray spectroscopy [EDX] and atomic force microscopy [AFM]).

The examination of total phenolic content (TPC), total flavonoids content (TFC) and individual phenols (UHPLC) showed the presence of 85.21 mg/g (TPC), 25.38 mg/g (TFC), protocatechuic acid (62.10 µg/g), gentisic acid (60.21µg/g), rutin (50.12 µg/g), kaempferol (46.58 µg/g) and p-Coumaric acid (42.35µg/g) . The polarization study shows that the maximum shift is (16 mV), imposing a mixed mode of inhibition, dominantly anodic. The surface morphology studies by SEM, EDX and AFM confirmed the adsorption of phytochemical components on the low carbon steel surface blocking the active sites.

The study unveils the inhibitive nature of P. terminalis, preventing aggressive attack by 0.5 M HCl on low carbon steel. This also exhibits few phenols present in methanolic leaf extract which may be the role player of corrosion inhibition.

Assigning business process activities to agents (human or automated) for their performance or supervision is a critical issue in business process management. Role‐based approaches are commonly used to specify work assignment policies, with roles defined as collections of capabilities and privileges required to perform job functions. The purpose of this paper is to address the activity assignment problem through a competency‐based approach. In this context, an ontology‐based competency model is developed to assist in identifying the competencies that exist in an organization and the competencies required, by workflow activities and in performing a competency gap analysis as a prerequisite for domain‐specific user development through competency‐based training.

An approach for developing a business process activity assignment policy based on an ontology‐based competency model is presented. This model is also used to define domain‐specific training courses that enable users meet the competency requirements of process activities. In broad terms, the approach consists of the following steps: identification of the competencies required in order to perform the various activities involved in each business process and definition of roles based on these competencies; identification of the competencies acquired in the organization and assignment of users to roles; performance of competency gap analysis to identify the missing user competencies for role playing and identification of user development needs; and development of competency‐based training scenarios intended to fill the user competency gaps.

An experimental implementation of the ontology‐based competency model proposed in the banking domain provided a fine‐grained role structure that was based on the competencies required by business process activities, and a user‐to‐role assignment that closely matched the competencies required for role playing, and brought forward missing user competencies that pointed to required user training needs.

The proposed ontology‐based competency model fulfils the need for a sustained work assignment approach based on user roles. To this end, roles and users are defined as collections of required and acquired competencies, respectively. A novel approach based on ontology‐based competency ontologies was also developed to fill required but missing user competencies.

The purpose of this study is to examine the application of sports sponsorship in China, particularly to gain some understanding of the benefits as perceived by corporate sponsors. In-depth interviews were conducted with 19 sports sponsorship experts in China. The results provide insights into how sports sponsorship works in this emerging market.

Despite fast developments in esports sponsorship, limited research exists in the area of sponsorship evaluation in the esports context. The purpose of the present study was to test the relationships among esports involvement, sponsorship perceived fit and viewers’ intention to buy the sponsor’s products, and examine the degree to which perceived fit mediates the relationship between the involvement dimensions and intention.

The study draws on the theoretical model of sponsorship effects proposed by Wakefield et al. (2020) and obtained quantitative data from sampling esports viewers (n = 285). Statistical analysis was carried out in three steps. Beyond the descriptive statistics, confirmatory factor analysis (CFA) was conducted to assess the goodness of fit of the measurement model. The mediation analysis was performed at the end of the study.

The results supported the impact of one of the esports involvement dimensions (i.e. self-expression) on both perceived fit and esports viewers’ intentions to buy sponsors’ products. Involvement (self-expression) was found to have both direct and indirect relationships, through perceived fit, on purchase intentions. The study provided support for the associations among esports involvement dimensions, sponsorship perceived fit and purchase intentions.

The practitioners should first consider the involvement profile of esports viewers. The more involved viewers will be more likely to have positive perceptions about the fit between the esports tournament and the sponsor.

It is the first study to test a sponsorship evaluation model in the context of esports users. It does so by including a more detailed measurement of involvement (with three-dimensions) in the hypothesized model.

The application of advanced methods of process management is essential, especially in those fields in which activity durations can be determined only vaguely, while at the same time a highly competitive market enforces strict completion schedules through the implementation of penalties. The technique presented is most suitable for determining a time‐cost trade‐off based on practice‐relevant assumptions. Completion time overruns usually cause penalties whose size depends on the degree of the overruns. To avoid such penalties – or at least to keep any losses low – distinct processes may be crashed by one or several measures that decrease the activity duration. The risk of an overrun has to be weighed against the expected costs and benefits of certain crashing measures and their combinations. The technique presented is a new PERT‐based, hybridised approach using simulated annealing and importance sampling to support typical process re‐engineering, which focuses on the efficient allocation of extra resources in order to achieve a more reliable performance without changing the precedence‐successor‐structure.

This paper inspects in detail the seasonality (deterministic) in container freight rates, and compares seasonality patterns in different freight rate indices. A deterministic seasonality unit root test is performed to achieve set objectives. This study concludes that all the indices (tested in this paper) exhibit significant deterministic seasonality. For January and August, there is no seasonal effect observed in all five series. At the same time, all the indices except Exports from Europe Rate Index (EEI) exhibit significant seasonal patterns in February, September, and December. All five indices exhibit significant seasonality during May, and the coefficient sign shows a drop in the freight rates. During March, October, and November; it is observed that only EEI exhibit significant seasonal patterns. The results could be beneficial for carriers and agents who are involved in the containerised freight transport business. Also, shippers could get a clear idea about the freight rates' nature across various trade routes.

The paper aims to propose a new mathematical model for allocation and scheduling of vessels at multiple marine container terminals of the same port, considering the access channel depth variations by time of day.

This paper proposes a new mathematical model for allocation and scheduling of vessels at multiple marine container terminals of the same port, considering the access channel depth variations by time of day. The access channel serves as a gate for vessels entering or leaving the port. During low-depth tidal periods the vessels with deep drafts have to wait until the depth of the access channel reaches the required depth.

A number of numerical experiments are performed using the operational data collected from Port of Bandar Abbas (Iran). Results demonstrate that the suggested methodology is able to improve the existing port operations and significantly decrease delayed vessel departures.

The contribution of this study to the state of the art is a novel mathematical model for allocation and scheduling of vessels at multiple terminals of the same port, taking into consideration channel depth variations by time of day. To the best of the authors’ knowledge, this is the first continuous berth scheduling linear model that addresses the tidal effects on berth scheduling (both in terms of vessel arrival and departure at/from the berth) at multiple marine container terminals.