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The purpose of this paper is to overcome the shortcomings of the marked method in identifying the number of regions in binary images, and to present a new algorithm to identify the number of bars.

Identifying the number of bars automatically is widely used in the lumbering, iron, and steel industry. The marked methods need complex signing and have to scan the binary image several times. An algorithm that uses two chain lists to identify the number of bars is presented. It uses the characteristic of the chain list. When scanning the binary image, it creates two chain lists and then the number and the central position of the bar based on the relations of created chain lists can be determined.

Test results have indicated this algorithm is feasible and effective on recognizing the number of bars.

When the connected area has too many pixels in the binary images, recognizing its number needs much more time.

The paper presents a very useful approach for identifying the number of the bar, in the lumbering and steel industry.

The purpose of this paper is to aim at modelling the trails, which are search patterns with several search systems across the heterogeneous information environment. In addition, the author seeks to examine what kinds of trails occur in routine, semi-complex and complex tasks, and what barrier types occur during the trail-blazing.

The author used qualitative task-based approach with shadowing of six molecular medicine researchers during six months, and collected their web interaction logs. Data triangulation made this kind of detailed search system integration analysis possible.

Five trail patterns emerged: branches, chains, lists, singles and berrypicking trails. The berrypicking was typical to complex work tasks, whereas the branches were common in routine work tasks. Singles and lists were employed typically in semi-complex tasks. In all kinds of trails, the barriers occurred often during the interaction with a single system, but there was a considerable number of barriers with the malfunctioning system integration, and lacking integration features. The findings propose that the trails could be used to reduce the amount of laborious manual system integration, and that there is a need for support to explorative search process in berrypicking trails.

Research of information behaviour yielding to different types of search patters with several search systems during real-world work task performance in molecular medicine have not been published previously. The author presents a task-based approach how to model search behaviour patterns. The author discusses the issue of system integration, which is a great challenge in biomedical domain, from the viewpoints of information studies and search behaviour.

Best-value supply chains characterized by agility, adaptability, and alignment, have become a crucial strategic means for firms to create and sustain competitive advantage in today’s turbulent environment. The purpose of this paper is to investigate linkage between best-value supply chains and firms’ competitive performance.

In Study 1, survey data from 76 firms is used to test the impact of the three qualities of best-value supply chains on firms’ competitive performance. In Study 2, to test if a firm’s competitive advantage can be sustained through building best-value supply chains, a long-run performance analysis is conducted, which is based on a stock portfolio of firms identified from the American Marketing Association’s annual list of “Supply Chain Top 25.”

The results of Study 1 indicate that the three qualities of best-value supply chains are positively related to firms’ competitive performance. The results of Study 2 show that firms having best-value supply chains generate significant and positive abnormal returns for shareholders over time.

This is a multiple-method research, providing two-level empirical evidence to the investigation of theoretical linkage between best-value supply chains and firms’ competitive performance.

This paper is designed to assess the sustainable value chain approaches for marketing channel development opportunities for agricultural products in coastal Bangladesh to combat climate change through an approach of community-based adaptation options.

The study was designed to select the potential value chain candidate and to analyze and establish a value chain map to benefit the crop farmers. In this connection, the resources of the whole context were evaluated. The approach uses few tools to generate three outputs, the last of which are the final list of value chains selected for in-depth assessment to design interventions as community-based adaptation practices of the study to combat climate change in the study areas.

The study demonstrated that the difference in the institutional circumstances of the end markets of the agriculture products is connected to the different categories of harmonization and control of the facilitating environment throughout the supply chains. National and local networks improve the value chain in terms of the value addition of the agriculture products, technology improvement, market access and profitability of the products. Strengthening the weak financial structure, focus more on formal financial systems and resolving sociocultural and climate change-induced hazard concerns are the major concerns on the development of value chains in the countries. Apparently, guarantee for good governance, checking illegal and unregulated market contexts, proper mitigation measures to climate change are some paramount important issues for the sustainable management of livelihood, yield, income and development.

All kinds of stakeholders of the agriculture product value chain should focus on competitiveness and productivity and look for and exploit multiple ways to add value once initial success has been attained with a single deal. Ensuring sustainability within the value chains is an important feature to cater to the challenges and changing demands of the age.

The study will help to established a sustainable value chain approach in response to climate change, which process will help to existent opportunities for firms to manage the issue of climate risk by codeveloping and employing adaptation options that may be more preferred or accepted by consumers across the entire chain for the sustainable management of livelihood, yield, income and development.

A well-designed supply chain performance measurement system, should account for not only the capabilities and performance attributes of the focal firm but also its supply chain partners. The purpose of this paper is to help design a system that strikes a balance between the strategic objectives of the focal firm and its supply partners vis-à-vis the requirements of supply chain performance (cost, quality, speed and customer taste).

A theoretical framework on the strategic supply chain performance measurement system is developed based on existing literature and subsequently tested using a survey on 136 successful manufacturing organizations in India. The organizations were clustered into three strategy types and compared using analysis of variance on ranks to look for differences in preference for performance parameters.

The study examined the five dimensions of the supply chain practices, namely, strategic supply/distribution network, customer relationship, internal operations, information sharing and social and environmental responsiveness. The empirical results demonstrate the inclusion of business strategy orientation in designing today’s supply chain and hence its performance measurement system. Not supported hypotheses were addressed in the light of contextual factors.

The study is confined to finding preferences of non-financial aspects of supply chain performance and tier-1 suppliers. The research helps better design and benchmark supply chain performance metrics, based on the strategic choice of the firm.

This paper highlights the shortcomings in the existing performance measurement and gaps in the existing literature in the supply chain context. Further, it gives a holistic view of strategic supply chain performance measurement design.

Football is deployed into various segments and consists of a complex value chain, with interrelationships and circularities. It is relevant in various segments and therefore it is important to understand the structure. Thus, the purpose of this paper is to present a model of a football value chain and the managerial implications inherent to this chain.

This research used a field study as its methodology, developing a semi-structured questionnaire containing open-ended questions about the representativeness of the football value chain. In-depth interviews with specialists in football were performed to collect data.

The results of the interviews indicated that the theoretical model is representative. Furthermore, through validation, the relevance and representativeness of the football value chain was shown, as well as its interrelationships with the other commodity and service segments. In addition, it was found that this segment is relevant and influential in the national and international market, and can be considered a factor of economic and social development.

This paper provides a view of the actors who make up the football value chain, and also supplies a complementary view to the models of chains presented in the theoretical review, enabling the provision of evidence on the axis with greater added value as a new step. The limitation of this research involves the context approached, because as identified throughout the investigation, this context is complex and dynamic. In this way, the linear approach used to construct this chain led to a reduced view of reality and of present relationships.

The model shows the presence of the main actors and the structure for the transformation of raw material into a final product, and is useful to understand the existing relationships and the layers of added value.

The evaluation of the conceptual model of football value chain confirms that this is a professionalized chain, which generates a significant number of direct and indirect jobs.

The authors propose a model of a football value chain which is complementary to the theoretical review developed, exposing a linkage of the players present in this chain and at what stage they are present, and supplies the managerial implications inherent to this.

This study explores the influencing factors affecting smart supply chain innovation (SSCI) performance of commodity distribution enterprises, and proposes the corresponding framework from the perspective of the application of technology to improve the SSCI performance and make up the research gap in this field.

A multi-case study method is adopted in this study. Four distribution commodity distribution enterprises A, B, C and D in China are chosen as case enterprises. The interviews with senior management team members are used to collect data. The combination of open coding and axial coding are used to process the data. By testing the reliability and validity, the theoretical framework is summarized.

First, we find that the technology application cost inhibits SSCI and that the level of technology suitable for enterprise development will promote SSCI. Second, SSCI in structure, management and services can improve the performance and innovation ability of enterprises. Third, the quality of multi-channel integration and degree of customization around customer demand can significantly modify the above effects.

Compared with previous studies, this study reveals for the first time the correlation between the SSCI performance and technology application, SSCI in structure, management and service, providing new ideas for relevant researches on SSCI, and providing new theoretical support for managers' decision-making related to SSCI.

The purpose of this paper is to provide an initial assessment of corporate Facebook use by Spanish hotel chains. Two aspects are considered: communication activity and stakeholder engagement through this social media platform.

Based on a content analysis, data on 109 Spanish hotel chains are collected to describe current practices and identify significant relationships among different variables.

The main findings include that their Facebook presence, audiences and levels of activity are positively related to hotel size, while stakeholder engagement is higher in small hotel chains and seems to be influenced by content and media types.

This research contributes to previous research by providing an assessment of corporate Facebook in the hospitality industry (Spanish hotel chains). The paper considers two aspects: communication activity and stakeholder engagement through this social media platform.

The purpose of this study is to determine the underlying dimensions of supply chain management (SCM) practices and to empirically test a framework identifying the relationships among SCM practices, operational performance and SCM‐related organizational performance with special emphasis on small and medium size enterprises (SMEs) in Turkey.

Data for the study were collected from a sample of 203 manufacturing SMEs operating in the manufacture of fabricated metal products and general purpose machinery (NACE codes 28 and 29) within the city of Istanbul in Turkey. The research framework was tested using partial least squares method, which is a variance‐based structural equation modeling approach.

Based on exploratory factor analysis (EFA), SCM practices were grouped in two factors: outsourcing and multi‐suppliers (OMS), and strategic collaboration and lean practices (SCLP). The results indicate that both factors of SCLP and OMS have direct positive and significant impact on operational performance. In contrast, both SCLP and OMS do not have a significant and direct impact on SCM‐related organizational performance. Also, as the direct relationship between the two performance‐constructs was found significant, both factors of SCM practices have an indirect and significant positive effect on ORG through OPER.

Perhaps, the most serious limitation of this study was its narrow focus on Turkish manufacturing SMEs, thus precluding the generalization of findings to other emerging countries as well as other sectors such as service and government sectors that may benefit from a sound SCM strategy.

By developing and validating a multi‐dimensional construct of SCM practices and by exhibiting its value in improving operational performance of SMEs, it provides SCM managers with useful tool for evaluating the efficiency of their current SCM practices. Second, the analysis of the relationship between SCM practices and operational performance indicates that SCM practices might directly influence operational performance of SMEs.

This paper adds to the body of knowledge by providing new data and empirical insights into the relationship between SCM practices and performance of SMEs operating in Turkey.

The circuit elements of every printed circuit board have the potential for failure during test and/or use. These failures can occur by forming short‐circuits between adjacent circuit elements, or by forming open‐circuits in the conductors. The risk sites can be identified by type, and the total number enumerated by manual inspection of the photolithographic masks used to fabricate the printed circuit layers. However, the circuit density of high performance printed circuit boards has become so great that meaningful manual analysis has become impractical. A more effective method is to use special graphics programs to analyse the computer‐aided design (CAD) data. The methodology developed to perform the CAD analysis of high performance printed circuit boards for short‐circuits utilises two powerful computer graphic tools: the Interactive Graphics System and the Unified Shapes Checking system. Test data for open‐circuits are generated using specially written alphanumeric routines. The data can be used for stress testing the printed circuit boards by wiring up special test modules that are plugged into the boards and then placing the boards into environmental test chambers. The printed circuits are checked for short‐circuits by putting them into groups that have no risk of shorting to each other (zero risk), and placing the groups in parallel under an electrical potential. The flow of current between the groups would indicate a short‐circuit. Similarly, the printed circuits can be checked for open‐circuits, by stringing them together into groups in series, and measuring the changes in resistance under thermal stress. Both types of test data can also be used for in‐process testing.