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The purpose of this paper is to apply the image theory to the hospital context in order to add a perspective into the known complex relationship between physicians and hospital managers. This insight can enrich current intervention schemes used in health care to facilitate organisational change.

In this paper, the image theory of Alexander et al. on the known complex intergroup context of physicians and hospital managers is applied. The theory is operationalised in relative status, power, and goal incompatibility.

The data show the three variables are highly relevant and representative. Hospital managers see physicians as higher in professional status and power, and having different goals. Physicians see hospital managers to have higher power, lower status, and different goals. The study validates the applicability of the image theory in the Dutch hospital context. This results in a questionnaire suitable for performing a quick scan on the strength and direction of intergroup stereotyping within hospital organisations.

Data from the questionnaire give the opportunity to have insight in the way physicians and hospital managers perceive each other. This insight helps to focus attention on bottlenecks and possibilities in enhancing the co‐operation between physicians and hospital managers. Research on the relationship between physicians and hospital managers is scarce and mostly of a qualitative nature. This paper is executed in both qualitative and quantitative way, which enables us to empirically and statistically validate the data. The resulting questionnaire is applicable on an organisational intergroup level, while the focus in the extant literature is mostly on the interpersonal or intragroup level.

For accountability purposes, performance information sharing and clear divisions of responsibilities between medical specialists and executive boards are critical. The purpose of this paper is to explore whether these aspects of clinical governance have been taken up by executive boards and medical specialists in the Netherlands.

This cross-sectional study aimed to explore the information-sharing between medical specialists and executive boards in Dutch hospitals as one key aspect of clinical governance. Between November 2010 and February 2011, 67 medical staff board chairs and 40 chief executive officers completed an online questionnaire concerning information-sharing and the clinical governance practices within their respective hospitals.

Almost all respondents acknowledged the importance of information-sharing. However, the actual sharing differed per type of performance information. Policy/management information was shared more often than patient care information. Similarly, medical specialists differ in the degree of responsibility the take for specific clinical governance tasks. Almost all were involved in managing complication registries (99 per cent), while few managed hospital accreditation (55 per cent).

With executive boards and medical specialists being increasingly dependent of a shared budget, they have an extra incentive to share information and to take up clinical governance tasks. The study showed that Dutch medical specialists are sharing many types of performance information with the executive board, but that this should be increased to comply with the codes. Thus far, few hospital managers in the study have formalised this in an information protocol, which is potentially the next step for other hospital staff to incorporate as well. Those who have an information protocol seem to be aware of the business case for quality.

This study is the first attempt to explore to what extent Dutch medical specialists share performance information with their respective executive boards and take up clinical governance tasks.

The aim of this paper is to describe the factors that contribute to understanding how collaboration improves performance in operating rooms (ORs) after introducing the concept of cross‐functional OR scheduling teams.

The concept was investigated at Radboud University Nijmegen Medical Center (RUNMC) in The Netherlands and used on an innovative path based on socio‐technical systems (STS) principles designed to address non‐routine tasks, variety, interferences and errors related to OR scheduling, with the aim of increasing both staff productivity and patient safety. The effects of implementing preoperative cross‐functional teams in the OR were compared qualitatively. The researcher observed all of the team meetings, available data and documentation, and 13 semi‐structured interviews were performed with team members for collecting additional data.

In the literature, it was found that the theory of socio‐technical systems and the fields of group dynamics and self‐managing teams fit the OR setting. The author applied six elements of these theories (setting common goals, cohesion, openness, single‐loop and double‐loop learning, feedback, and control options) to the aspects found in the study. The qualitative findings revealed that high‐performing teams were able to identify bottlenecks in order to improve continuity of care. The cross‐functional teams used several performance indicators to gain insight into their own performance. Consequently, through collaboration, these teams were able to minimise interference and therefore learn. Cross‐functional teams learned how to address interferences and improve their quality of service through improved collaboration and the improved use of control mechanisms.

This research highlights the importance of team‐based approaches and the need to improve collaboration between healthcare professionals.

The paper confirms the value of implementing the socio‐technical systems theory to improve collaboration between healthcare professionals. This case study is a valuable contribution, as it focuses on team‐based organisation in preparing an OR schedule.

The purpose of this paper is to gain a better understanding of the difficulties encountered in the hybrid roles of physician−managers (P−Ms), examine the impact of organizational constraints on the role conflicts experienced by P−Ms and explore the different ways their two roles are integrated.

A qualitative approach was adopted, using six focus groups made up of clinical co-managers, medical directors and P−Ms. In all, 43 different people were interviewed to obtain their perceptions of the day-to-day realities of the role of the P−M. The data collected were subsequently validated.

Although the expectations of the different groups involved regarding the role of P−Ms are well understood and shared, there are significant organizational constraints affecting what P−Ms are able to do in their day-to-day activities, and these constraints can result in role conflicts for the people involved. Such constraints also affect the ways P−Ms integrate the two roles. The authors identify three role hybridization profiles.

The results afford a better understanding of how organizational constraints might be used as levers of organizational change to achieve a better hybridization of the dual roles of P−Ms.

This paper seeks to reach beyond a simple identification of constraints affecting the dual roles of P−Ms by analyzing how such constraints impact on these professionals’ day-to-day activities. Results also enable us to further refine Katz and Kahn’s (1966) role model, in addition to identifying hybridization profiles.

The purpose of this paper is to reduce the post-harvest loss occurring through respiration and CO₂ emission produce by the selected produces, during logistics. This paper proposes a supply chain (SC) structure for the Indian traditional agriculture SC planning model to reduce post-harvest loss and mixed closed transportation to reduce CO₂ emission.

The Indian agriculture SC structure is modeled and solved by genetic algorithm using a MATLAB Optimization toolbox. The respiration rate is measured by a static method. These values are applied in an SC planning model and the post-harvest loss and its corresponding CO₂ emission are estimated.

This paper proposes a supply structure for the Indian traditional agriculture SC to reduce the post-harvest loss; the experiments measured the respiration rate to estimate the CO₂ emission. The mixed closed transportation method is found to be suitable for short-purpose domestic transportation.

The optimized supply structure leads to unemployment through eliminating the intermediaries. Therefore, further research encourages the conversion of intermediaries into hub instead of eliminating them.

This paper includes implications for the development of Indian traditional agriculture SC by an optimized supply structure and novel transportation method for the selected agriculture produces based on compatibility.

This paper identified that the agriculture produces respiration can also emit the CO₂. The closed transportation method can reduce the CO₂ emission of produces respiration than traditional open transportation.

Biofortification of staple crops is a promising strategy to alleviate micronutrient deficiencies in rural populations of the developing world. The possibility to sell biofortified crops at “a good market price” plays a vital role for the acceptance by smallholder farmers. This study is therefore focused on non-farming consumers' willingness to pay (WTP) for biofortified crops.

Specifically, we elicited non-farming consumers' WTP a premium for the improved iron content (+30% iron) in a 1kg finger millet bag using a 2nd price Vickrey auction with six auction rounds and one health- and one process-related information treatment. Due to multiple bids per subject, premiums were analyzed using a linear mixed-effects model, controlling for market feedback and auction round.

Despite more than half of the respondents being skeptical toward new crop varieties, the acceptance rate was very high (98% with a WTP above zero). The average premium amounted to 27% and could be significantly increased with the provision of health-related information. In contrast, information about the breeding method was ineffective. The WTP was significantly higher for higher income and lower for higher age, education and skepticism toward new crop varieties and increased with increasing rounds.

Our results suggest that non-farming consumers are willing to pay “a good market price” for iron-biofortified finger millet. Our analysis also confirms the importance of health-related information for raising consumers' WTP. This information supports the further development and introduction of biofortified crops to alleviate micronutrient malnutrition.

This study adds to the still limited literature on consumers' WTP for iron-biofortified crops in India, focusing on non-farming consumers to assess the price such crops can achieve on the market.

The purpose of this paper is to identify antecedents of attitudes towards foods produced by novel technologies, including high pressure processing (HPP) (orange juice); genetic modification for a “health benefit” (omega‐3 margarine); novel cereals with resistant starch for a “health benefit” where the traits were identified by genetic modification to understand selected gene function prior to utilising traditional breeding techniques to achieve desired novel traits (pasta); and infertility technologies (triploidy and irradiation) for farmed aquaculture (prawns).

A questionnaire based on adaptations of three validated food choice questionnaires was administered using an incomplete block design, with each respondent (n=142) assessing two products produced by three differing technologies (triads). Quantitative responses to food choice issues and the importance of those issues (belief evaluation constructs) were analysed using repeated measures analysis of variance, with three independent variables; gender, frequency of consumption (both only significant for margarine) and age (ns).

Significant differences between the various technologies were found for four of the five products (not orange juice) by technology. Belief evaluation constructs that differed for all technologies investigated were health, natural content, familiarity and political values. Furthermore, price, ecological welfare, and impression management underlie attitudes towards some technologies.

While based on a relatively small Australian convenience sample, these findings suggest that scientists and manufacturers would be well advised to test concept products produced by novel technologies to ensure that they are perceived positively; otherwise uptake and success in the marketplace will be impeded if information on the technology were, as is increasingly likely in an age of freely available information, to be revealed.

Internal fluffy portion along with fibrous strands of ripe pumpkin is considered as waste in processing industries though it contains sufficient amount of ß-carotene pigment. The purpose of this paper is to use the leftover fluffy portion of ripe pumpkin (Cucurbita maxima) after the use of its flesh for the purpose of processing.

The data were analyzed statistically by following a complete randomized design (CRD). All analysis were performed using the software OPSTAT.

One hour pre-enzymatic treatment before solvent extraction showed significant improvement in extraction yield in comparison to the isolation of ß-carotene pigment through solvent only. Temperature time combination was optimized as 40°C for 2 h during solvent extraction to obtain maximum yield irrespective of the type of extraction method used.

Extracted carotene pigment can further be used as a natural food colorant in processed food products not only to enhance the color appeal but also it improves the nutritional value of the product as ß-carotene acts as a precursor of vitamin A.

Coloring agents of natural origin are becoming famous among society due to their health benefits. Consumers are becoming reluctant to use synthetic colors because of the undesirable allergic reactions caused by them, so carotene bio-pigment produced is a natural coloring compound with wide application in the food sector.

Even though few researchers have worked on the extraction of carotene pigment from pumpkin, but no researcher has reported the use of a waste fluffy portion of C. maxima for extraction of ß-carotene pigment.

The pharmaceutical industry is one of the most essential areas of health in any country. It is defined as a system of processes, operations and organizations involved in discovering, developing and producing drugs. The supply chain in the pharmaceutical field is one of the most important strategic issues in the pharmaceutical and health-care industries. The purpose of this study is to reduce the total cost of the supply chain network and reduce the amount of distribution scheduling.

In this study, the authors designed a drug supply chain network with uncertainty-related corruption. The optimal number and location of potential facilities, the optimal allocation of flow between facilities, the optimal routing of vehicles and the optimal amount of inventory in production and distribution center warehouses were determined to achieve these two objective functions.

In evaluating the small sample size problem, it was found that the comprehensive benchmarking method was more efficient than the other methods in obtaining the mean index of the first objective function. The utility function method has also proved its efficiency in obtaining the mean of the second objective function indices, the spacing index and the computational time. Because of the inefficiency of GAMS software in resolving size issues, the modified NSGA II and MOPSO algorithms with modified priority-based encryption have been used. First, using the Taguchi method, the initial parameters of the metaheuristic algorithms are adjusted, and then, 15 sample problems are designed in larger sizes. To avoid generating random data, five problems were equally designed, and the averages of objective functions and metrics of met heuristic algorithms (number of efficient solutions, maximum expansion index, spacing index and computational time) were analyzed as the basis of evaluation and comparison. Therefore, using all the indicators and results of the NSGA II algorithm is recommended.

In this research, a biobjective modeling approach is proposed to minimize the total costs of the supply chain network (construction costs, storage costs and product transportation costs between centers) and advertising costs and to minimize distribution and transportation scheduling across each level of the supply chain network.