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The main purpose of this paper is to review the related literature and propose a new decision‐support‐system (DSS) framework for marketing in the business‐to‐business (B2B) arena based on customer‐relationship management (CRM) and knowledge‐driven marketing to help related‐field graduate students and marketing managers.

Reviews a range of the most important works published between 1966 and 2004 in order to demonstrate both practical and theoretical aspects. The main method of this research is analytical and conceptual and the approach to this subject was to investigate the gap between marketing DSSs and analytical CRM.

Provides information about a customized marketing DSS in a B2B context, indicates related literature and frameworks and, finally, tests the ideas with a case study.

Outcomes and applications are identified for developing new activities in improving marketing decision making and marketing planning based on customer orientation and customer satisfaction.

Despite such interdependencies, the research in the fields of DSSs and CRM solutions has not adequately considered the integration of such systems. The novel contribution of this paper lies in integrating marketing DSSs and CRM with regard to knowledge‐driven marketing in B2B marketing, in both theoretical and practical aspects.

This study aims to examine the relationship between corporate governance (CG) and various measures of earnings quality in listed companies on Tehran Stock Exchange (TSE). The theoretical intuition for prediction of any relationship between earnings quality and CG is based on the behavioral theory and the institutional settings in Iran.

This study used the data of 117 listed companies on the TSE for the period from 2005 to 2019. The authors use panel data regression as the main methodology, along with principal component analysis, t-test and rank-sum test.

This study finds that the CG has a positive association with earnings quality. More precisely, better CG mechanisms cause lower earnings smoothness, more predictable and persistent earnings, and higher levels of timeliness, conservatism and value relevance. The relationship between CG and earnings quality is statistically and economically significant for all models.

The findings further the understanding of the role of CG in improving earnings quality in an Islamic and emerging country. First, this study provides evidence on the relation between CG and earnings quality by focusing on the behavioral theory, which suggests that corporate decision-making is not only influenced by formal CG mechanisms, but also by informal CG arrangements. In this case, this study departs from the restrictive theories (specifically, agency theory) that are widely used in past literature. Second, this study constructs an index that fits to corporate context of Iran rather than applying indexes introduced in Anglo-American environments.

This study aims to examine the reuse of plastic and fly ash (FA) to improve the soil and achieve sustainable development goals.

Sand from the Anzali port was reinforced with Geopet (GP) and stabilized with FA plus 3% sodium hydroxide. The GP was placed in FA-stabilized soil and the California bearing ratio (CBR), and unconfined compressive strength (UCS) tests were performed on samples at the optimum moisture content.

The results showed that the improvement in the optimum CBR was 174.9%. The UCS increased 15.25% and 48.65% in soil reinforced with three layers of GP plus 15% FA over those containing 10% and 5% FA, respectively. Additionally, the current analysis used response surface methodology (RSM) to investigate the impact of FA percentage, GP layers and their interaction on CBR. The results highlight the efficacy of the used RSM model, as evidenced by the significantly low p-value (<0.0001).

This demonstrates the suitability and effectiveness of RSM for evaluating CBR in this scientific study.

Increased dietary salt content is one of the effective factors of hypertension and a major public health challenge globally. Although the positive effects of dietary salt reduction on health are universally accepted, people can hardly reduce their salt intake. The purpose of this study is to identify the inhibitory factors of dietary salt reduction among 20–65-year-old women in Yazd City, Iran.

This study was conducted using a deductive content analysis approach based on the communication for the behavioral impact (COMBI) framework. The purposeful sampling method was applied with maximum variation in terms of different educational levels, age groups, occupational status and residential areas to select the participants. Snowball sampling was used to select health-care professionals. Furthermore, semi-structured interviews and focus-group discussions were conducted with 31 local women and 11 health-care professionals working in the City until data saturation was achieved. Data were analyzed using Graneheim and Landsman’s method.

After data analysis, 617 initial codes were extracted over the perceived barriers. After merging similar codes, 223 codes were extracted. The barriers were classified into five main categories of family, personal, organizational, educational and socio-cultural barriers.

Based on the COMBI framework, the results demonstrated that the most important barriers for reducing salt intake were negative attitude toward restrictions on dietary salt intake, insufficient and incorrect beliefs about the health risk of salt, lack of family support, inadequate health literacy and low self-efficacy in Yazd City. Among these barriers, lack of family support was considered as the most effective factor in reducing salt consumption. So, by focusing on this area and providing the community with the required education, the amount of salt consumed by families can be reduced.

The purpose of this study was to assess the self-perceived need, seeking and use of dental care and its main determinants in Kurdistan province, Iran.

A total of 1,056 adults in Kurdistan province were included in this cross-sectional study. Multistage sampling approach was used to select the samples. Data on sociodemographic characteristics, economic status, self-perceived need, seeking and use of dental care were collected using a self-administrated questionnaire. Multivariate logistic regression model was used to assess factors affecting the use of dental care. In addition, socioeconomic inequality relating to dental care needs and use of dental care were examined using concentration curve and concentration index.

In this study, unmet dental care need was 62.7%. There was a perceived need for dental care among 13.7% (n = 145) of the participants in the past month, with only 39.3% (n = 57) seeking the care. The most important reasons for unmet dental care need were “Could not afford the cost” and “Insurance did not cover the costs.” Multivariate logistic regression showed that supplementary insurance status and household economic status were identified as main determinants affecting dental care-seeking behavior. The result of concentration index revealed that seeking dental care was more concentrated among the rich, whereas the perceived dental care need is more prevalent among the poor.

This study demonstrated that the prevalence of unmet dental care needs is high in the study setting. Also, financial barrier was identified as the main determinant of unmet dental care needs.

Many devices needed electrical power to work, thus, major energy carriers such as oil and gas were used to generate electrical power via converter mechanisms and special technologies. The microturbine is a developed technology that is remarkable for its relatively high performance and ability to use several types of fuels. Microturbines are economically feasible because of the production of combined heat and power and small-scale applicability. This study aims to investigate microturbine technology development to support modern energy access in a developing country (i.e. Iran).

This paper presents a technology foresight methodology to create plausible futures of microturbine development in Iran when the country faces different driving forces and uncertainties. On other hand, the paper deals with a theoretical question: how to select appropriate foresight methodology? A procedure is proposed, which equipped the research team to select appropriate method combinations based on Popper’s diamond. Finally, the selected methodology includes defining focal issues environmental scanning and patent analysis aimed at developing five plausible scenarios for microturbine development future in Iran and creating shared visions among policymakers.

This paper proposed a series of scenarios on the path to developing microturbine technology. The scenario development logic in a participatory way contains a common four-quarter technique that attempts to depict scenarios based on two critical uncertainties inclusive energy price and technology obsolescence, which will shape the future. Also, a scenario is presented to describe a wild card that can disturb the desired futures. Such materials help decision-makers to policies under plausible conditions that guarantee a robust policy basket.

The originality of this paper can be studied based on two aspects, first, the methodology that provides a systematic method selections procedure in an emerging complex technology development program. Second, from the practical aspect, this paper is one of the very first attempts to manage the microturbine technology development program. Then, results are used to feed the policy-making process in Iran.