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The subjects which can form a basis of international co‐operation are considered in this article and in particular the scope and structure of ESRA, the composition and duties of the Steering Committee and the practical training and education actions that have so far been taken are examined in some detail.

With increased populations and movement of people worldwide, traffic emissions will lead to an increase in carbon dioxide emissions, which is one of the greenhouse gases. This will increase outdoor air pollution and other environmental risks that will impact people's health and livelihood, crops, as well as the built environment such as architecture, buildings and other structures. Few studies have been devoted to addressing the effect of air pollution on historic buildings. However, there is no specific study on the impact of traffic-related emissions.

A thorough analysis has been conducted in selecting eight historic districts (HDs) among all of 31 located within the city of San Antonio. Motor Vehicle Emission Simulator (MOVES) software has been utilized to process the data collected from the average annual daily traffic (AADT) and vehicle operational speeds and evaluate the amounts of emissions for each HD.

MOVES outcomes showed that HDs are under the threat of deterioration caused by traffic emissions. Therefore, transportation and environmental planners need to implement sustainable solutions to reduce the impact of CO₂ emissions on HDs and, ultimately, historic buildings.

This study will help policymakers plan a better course of action for the future conditions associated with the increased traffic volumes. It is also beneficial for the developers, preservationists, architects and all other stakeholders willing to preserve the history of a country.

This paper investigates a dual-channel supply chain in which a manufacturer offers coupons in the online channel and the retailer in the offline channel. The optimal pricing and coupon promotion policies are explored, and the brand image under different promotion scenarios is studied.

Three differential game models, namely no coupon is offered, coupons offered by the manufacturer and coupons offered by the retailer, are constructed.

The results show that the manufacturer and retailer intend to conduct coupon promotions under a large coupon redemption rate. Coupon promotion derives a higher price and profit for the issuers, and the manufacturer can free-ride on the retailer's coupon promotion. The retailer's profit in the retailer-promotion scenario may be lower than that in the manufacturer-promotion scenario in some special conditions. Besides, price, coupon face value, brand image and profit increase over time. After multiple cycles game, the operational strategy evolves to an optimal equilibrium status.

This paper provides guidance and advice for dual-channel supply enterprises to implement joint pricing and coupon promotion strategies under multiple sales seasons.

Programming Sensor Networks currently is a subtle task not because of enormous amount of code but due to inherent limitations of embedded hardware like the power, memory, network bandwidth and clock speed. In addition, there are very few programming abstractions and standards available which lead to close coupling between the application code and the embedded OS requiring understanding of low‐level primitives during implementation. A Middleware can provide glue code between the applications and the heterogeneity of devices by providing optimized set of services for autonomously managing the resources and functionality of wireless nodes in a distributed wireless sensor network. This paper presents an autonomous middleware framework for low power distributed wireless sensor networks that support adaptive sensor functionality, context aware communications, clustering, quality of service and faulttolerance. Finally an application on how to use the autonomous middleware is illustrated on the Envelope System Research Apparatus (ESRA).

This paper aims to empirically examine the main determinants of the compliance level of disclosure requirements for IAS 16, as well as factors that may explain the differences in the levels of compliance within companies.

The association between the level of compliance and various corporate characteristics was examined using Chi-square Automatic Interaction Detector (CHAID) analysis in financial disclosures for IAS 16. CHAID analysis was applied to the manufacturing companies listed in Borsa Istanbul for the years 2012 and 2013.

It was found that the most significant factor is the auditor reputation within different nodes such as size or free float rate. In most of the studies, correlation is used to determine the association between different factors, but this study is the first one that uses the CHAID analysis which offers an adjusted significance testing, and at the same time classification of the interaction between variables.

This paper provides insights into the primary factors of disclosure compliance that help to improve the structure of disclosures and the level of compliance in preparing future financial reports. The proposed improvements will also support further developments in financial reporting regulations regarding disclosures. The key limitation in this paper is that it concentrates on a specific standard and only covers two years. However, it provides suggestions for one of the most important standards that includes various disclosures.

In addition, this paper fills a gap in the literature about the compliance level of specific standards such as IAS 16 and the usage of CHAID analysis in such studies. The results were consistent with some previous studies regarding the relationship between compliance level, auditor reputation and size and it also highlight the effect of different disclosure items on compliance level.

Facility management (FM) is picking up steam in Turkey. However, delays in creating standards and adopting FM as a profession by corporate and public institutions led to an unusual predicament, unlike in Europe and the USA. The purpose of this study is to take an inductive and constructivist approach to explore the extent of maturity in the FM industry within Turkey.

Qualitative understanding of the complexity of the Turkish FM sector drives the design used in the study. All data has been collected through an in-depth interview and semi-structured questionnaire with FM stakeholders.

The findings revealed the perceptions of stakeholders working in various businesses and research institutions in Turkey, including FM organizations, supply markets and educational institutions, regarding the key challenges and opportunities in the business environment.

The trend on Turkish FM revealed a slow growth in FM professionalization, which needs the authority’s attention as the professionalization reduces the unemployment rate, reduces cost and enhances the life cycle of the physical property.

This is the first study, to the best of the authors’ knowledge, on Turkish FM that provides comprehensive studies on Turkish FM professionalization trends to draw the attention of policymakers to the need to enact policies that would improve FM professionalism.

The purpose of this study is to examine how – if any – does message framing moderates the previously documented positive effect of organizational identification on unethical pro-organizational behavior (UPB).

The authors used vignette methodology to manipulate message framing and organizational identification in a 2 × 2 between-subjects experimental design to test research hypotheses. In total, 332 undergraduate students in the senior year of banking and management participated in the experiment. Two-way analysis of variance was used for data analyses.

Message framing is found to moderate the effect of organizational identification on UPB. Organizational identification posed a stronger effect on intentions to engage UPB when a supervisor announces a critical situation by using a positively framed message than (s)he frames it negatively.

Using undergraduate students as subjects is an important limitation to external validity and generalizability of the findings. More realistic field experiments can be conducted by using real employees and factual firms in future studies.

Managers should be careful when using over-motivating language to employees on critical issues. Under intense stress, a managerial message over-emphasizing “gain” can prompt highly identified employees to conduct misbehavior.

Unethical behavior brings negative consequences for organizations, even if it is conducted for the benefit of the organization. To prevent any tendency toward UPB, management communication must clearly highlight the delicate boundary between being attached to the organization and going beyond the rules for the organizational goals.

The study findings shed more light on the relationship between organizational identification and UPB, allowing us to see that the relationship is not always linear. In addition to over-identification, reciprocity and neutralization processes, the framing may be another explanation to varying effect of organizational identification on UPB. Supervisors’ communication style can influence employee behavior in controversial issues linked to UPB.

Most studies of mobile commerce (MC) adoption by individuals have focused on the influence of a set of factors at a single point in time, and thus, cannot capture the process by which the individuals progress from simple to sophisticated MC adoption. This paper aims to enhance the current understanding of MC adoption by using a process approach to investigate MC adoption progression among individuals and the factors influencing their decisions to adopt different MC activities of varying complexity levels over time.

A qualitative research design was used. Data were collected through a series of semi-structured face-to-face interviews with 22 users of mobile devices to understand how they progressed in MC adoption over time and the factors influencing their decisions to adopt different levels of MC activities. The data were analyzed using qualitative data analysis techniques.

The findings showed reciprocal influences between individuals’ perceptions and MC adoption. As individuals adopted and gained experience with basic MC activities, their perceptions of MC improved over time, leading to the adoption of more advanced MC activities.

This research proposes a novel process approach and an innovative MC Adoption Maturity model to explain MC adoption progression over a time dimension. The model includes three levels of MC adoption maturity and explains adoption progression from one level to the next. The concept of MC adoption maturity will enable researchers to understand changes in users’ experiences and perceptions throughout adoption maturity progression.

This work attempts briefly to identify factors affecting the success of technology transfer in order to reduce the potential of incompatibilities in respect to micro‐ and macro‐ergonomics and to optimize the decision process of managers in DCs.

Analytic hierarchy process (AHP) was selected as appropriate technique. The decision model developed in this research is specified in the context of micro‐ and macro‐ergonomics view of technology transfer in DCs.

Based on the AHP, it is possible to determine the global priority weights of different technology alternatives and examine the critical factors and benefits that affect the appropriateness of technology transfer based on micro‐ and macro‐ergonomics considerations. In its general form, the model provides a useful conceptual framework for evaluating alternative technologies in respect to ergonomics and suggests the ergonomics choices which must be made.

As noted above, this study is unique in its provides a holistic analysis of the risk factors that are expected to contribute to the inappropriateness of technology transfer, also provides a useful conceptual framework for evaluating alternative technologies and identifying incompatibility problems in respect to human factors, and can be extended to suggesting action for improving the decision process of managers.

The purpose of this paper is to examine the generational differences among publicly traded family firms in regards to value creation and value appropriation in the innovation process by drawing upon the knowledge-based view (KBV) and family business literature with a focus on socioemotional wealth perspective.

The authors tests the hypotheses via longitudinal regression analyses based on 285 yearly cross-firm S & P 500 firm observations.

First, the authors found that family ownership with second or later generation’s majority exhibits lower levels of value creation capabilities compared to non-family firms, whereas there is no difference between those of the firms with family ownership with a first generation’s majority and non-family firms. Second, the authors also found that family owned firms with a first generation’s majority have higher value appropriation abilities compared to nonfamily firms, while there is no significant difference in value appropriation between the later generation family firms and non-family firms.

The study help scholars, family business members, and investors better understand family involvement, and how it impacts firm performance through value creation and value appropriation.

The paper contributes to the family business, innovation, and KBV literature in several ways. While previous family business studies drawing upon resource-based view and KBV often focus on the value creation in family governance, the authors investigate both value creation and value appropriation phases of innovation process.