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This study aims to develop and examine a cross-level model of the link between shared leadership and hotel employees’ proactive customer service performance (PCSP) by investigating employees’ harmonious passion as a mediator and employees’ traditionality as a moderator.

The hypotheses were tested using hierarchical linear modeling based on multilevel data from 353 frontline service employees in 148 teams across 10 Chinese hotels.

The results revealed that shared leadership promoted frontline service employees’ PCSP by enhancing their harmonious passion. Moreover, when employees traditionality was high, harmonious passion was less influenced by shared leadership. When employees traditionality was low, shared leadership exerted a more positive influence on harmonious passion. In addition, harmonious passion mediated the interactive effect of shared leadership and traditionality on frontline service employees’ PCSP.

The findings suggest that organizations should cultivate shared leadership to promote frontline service employees’ PCSP. Organizations should also seek to enhance employees’ harmonious passion and foster a low-traditionality environment with the aim of maximizing the positive influence of shared leadership.

First, this research expands the leadership-PCSP literature by shifting the research focus from vertical leadership to shared leadership. Second, it offers a novel framework based on self-determination theory to clarify the influence of shared leadership on PCSP. Finally, the focus on the moderating impact of traditionality identifies a new contextual factor that influences the effectiveness of shared leadership.

The present article presents a first‐look into the hired‐labor market in Chinese household farms using data from a national household survey conducted by the Research Center for the Rural Economy (RCRE) at China's Ministry of Agriculture. More specifically, the purpose of this paper is to evaluate the scale and dispersion of China's farm‐household hired laborers among 15 commodities, and test whether market factors influence labor‐hiring decisions – an expectation of a well‐functioning labor market. This research contributes to the literature concerned with the labor constraints facing Chinese household farms, especially those producing seasonal commodities.

An econometric approach is employed to assess whether Chinese farms that hire labor are responding to market factors using two repeated cross‐sections (2006, 2007) of household survey data collected by the Research Center for Rural Economy at China's Ministry of Agriculture.

The paper finds hired labor use on very small‐scale farms is surprisingly prevalent, in contrast to previously published data. The regression results suggest that labor hiring by Chinese farm households, irrespective of farm size, responds strongly to market signals and resource constraints – more labor will be hired when the wage is lower, when output is higher, and among families with fewer family members available to farm work. And the response is particularly robust for wheat, rice, and maize, whose prices are predominant determinants of the food price index.

This paper is limited in its time‐series dimension and data availability. Despite those limitations, the results hold implications for further understanding China's nascent labor market and the level to which market factors have impacted rural farm households.

Focusing on the as‐of‐yet unstudied market for hired labor on Chinese household farms, the present article makes a contribution by showing that hiring of labor in Chinese agriculture is much more prevalent than previously thought. It suggests that Chinese farm‐households are responding to certain labor‐market factors and that the household response does not weaken as the largest farms are omitted from the model, suggesting that even small farms are heeding market signals.

The European Union (EU) energy supply environment is changing significantly and in a dynamic way, establishing the issue of safe energy imports as main priority. Greece relies heavily on energy imports. Furthermore, Greece aims to be elevated into an energy cross road for the energy supply to the EU. In this respect, the aim of this paper is the investigation of the suitability of graph theory concepts on energy supply networks and its application to represent energy corridors to Greece.

Supporting frameworks to represent and assess the vulnerability of the corridors satisfying the Greek demand in oil and gas are considered a crucial issue and are presented in this paper, based on the graph theory approach. In addition, a pilot application of the shortest path algorithm and the maximum flow at minimum risk algorithm for the oil and gas corridors to Greece is presented and discussed.

This paper introduces the application of graph theory to energy policy analysis. Indeed, the pilot application in oil and gas supply corridors to Greece, although quite simplified, has indicated the applicability of graph theory concepts in such problems and is considered a step forward of the existing studies, supporting the design efforts towards the development of a more reliable energy supply system.

To the best of the authors' knowledge, graph theory's application to energy corridors is not available in the international literature. In this respect, the added value of the paper is the provision of a sufficient decision support framework for the representation and assessment of the energy corridors' risk of energy availability, through the application of graph theory.

Greece is a net importer of oil and gas and is among the most vulnerable countries of the European Union (EU) on energy supply disruptions. Furthermore, is considered a “crossroad” of existing and forthcoming infrastructure for importing energy to the EU. The purpose of this paper is the presentation of the web tool that implements the developed methodology for the quantification of socio‐economic risks of oil and gas corridors. The tool is applied to the main present and future oil and gas corridors to Greece, and the related outcomes are discussed.

A structured and coherent review on the future and present oil and natural gas (NG) corridors to Greece was elaborated, based on desk analysis and collection of the related data from national and international sources. Factor analysis was employed for the quantification of socio‐economic risks of each energy corridor. Particular emphasis was laid on the tool's design, so as to be user‐friendly, combining intuitive menus and navigation throughout the steps of the system.

The calculation of socio‐economic risks of the main oil and gas corridors to Greece provides operative and measurable concepts for supporting energy‐modelling processes. Indeed, this paper provides useful insights on the factors affecting the smooth energy supply and the reliability of oil and gas supply options to the Greek energy system. Moreover, the presented web tool can be used as a reference point for the researcher working on energy supply risks quantification.

The introduction of the energy corridors perspective in the valuation of supply security is of significant importance, taking into account the constantly increasing energy dependence of EU countries. To the best of the authors' knowledge, a structured and coherent review of the future and present oil and NG corridors to Greece is not present in the international literature. In addition to this, the development of the web tool is a clear contribution towards the quantification of the economic and socio‐political risk analysis and a step forward of the existing studies.