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The citizen-shareholder approach in the capital market is considered a knowledge-enhancing and emerging concept in financial and accounting offerings. Its reliable background in management and human sciences makes it an essential basis for protecting the interests of shareholders and investors. Shareholders are considered a necessary part of the social platforms that are companies and regulatory institutions in the capital market; beyond being obligated to protect their material and intellectual rights, they are responsible for developing norms and facilitating investment values and gaining trust through mutual interactions based on respect for their interests. The purpose of this paper is to perform interactive qualitative analysis of the requirements for protecting the rights of citizens of capital market shareholders.

The methodology of the research is mixed, so that in the qualitative part, through content screening, the dimensions related to the protection of the citizen rights of the capital market shareholders were identified through a systematic review of 10 research in the period of 2017–2022. Then, the reliability of the specified dimensions was examined through Delphi analysis; in the quantitative part of the research, the criteria identified through the pairwise comparison matrix were first determined by the level of their relationships to determine based on the pattern of systemic representation of drivers and the consequences of requirements to protect the rights of citizens of capital market shareholders.

The research results in the qualitative part indicated the existence of 12 primary themes; during the two stages of Delphi analysis, three themes were removed, and a total of nine themes entered the quantitative phase. The results in a quantitative part indicate the creation of specialized and active committees of the board of directors as the primary driver and the reliability and timely disclosure of information in the long term as a systemic consequence.

To the best of the authors’ knowledge, this is the first research that presents the new concept of citizen shareholders to strengthen the requirements of protecting the rights of shareholders in the capital market while developing new theoretical literature.

Restaurants with limited promotion budgets depend mainly on word of mouth (WOM) among customers. WOM seems particularly important to the marketing of services. This is because services are experiential in nature and difficult to assess before purchase. In the restaurants context there is little research on WOM. The purpose of this paper is to examine the factors that may influence tourists’ WOM about restaurants implying on the critical role of relationship quality.

A comprehensive literature review is conducted to identify the major factors influencing WOM in the context of restaurant industry. The study utilizes self-administered questionnaire survey and the target population are the customers who have referred to the restaurants of Tehran, Iran. A convenience sampling approach was utilized to collect a sample of 326 customers. A structural equation modeling procedure is applied to the examination of the antecedents of WOM.

The paper found that food quality, personal interaction quality, physical environment quality, and perceived value influence WOM behavior of customer in an indirect way through relationship quality.

This research conjectured that an understanding of factors that influence the tourist to talk each other about a given restaurant are worthy of additional research. Consequently, the study helps to understand how these factors can provide alternative sources of marketing to attract the long-term economic sustainability of restaurant industry in Iran.

To the authors’ knowledge, this research will be the first attempt to explore influential factors on WOM in restaurant industry focusing on the critical role of relationship quality. It is expected that researchers will find this research a contribution to the WOM literature, particularly in restaurant industry.

The purpose of this study set out to introduce an alternative framework for explaining the formation of the innovation ecosystem based on the systematic literature review (SLR) and ecosystemic approach.

This paper is an SLR of studies from the year 2008-2018 that investigating startups’ innovation. SLR approach being used exploration, interpretation and communication method, which composed of seven steps as follows exploring topics, searching, organizing, evaluating and expanding, integrating and communicating. The output of this process is 63 documents that applied to synthesize the formation framework.

The systematic review of literature has shown that researchers in recent years have considered some entities such as incubators, financials suppliers, accelerators, universities and companies in relation to the startup innovations, which are described in this paper as key actors. The study of the relationship between these actors in the documents led to the identification of interactional necessities, including structures, infrastructures and networks. Finally, the processes studied in the literature were classified into three types of mechanisms, namely, the genesis, growth and development of startups innovations.

The SLR approach is subject to limitations because some poor explanations amongst previous researchers may be repeated and reinforced. Also, in the protocol adopted in this paper, documents are limited in English.

The introduced frammework can be useful in identifying and understanding the requirements of startups and creating effective policies for their innovation development.

This paper reviews, summarizes and integrates the growing and scattered literature of the innovation ecosystem of the startups and delivers new facts for the future development of this field.

The purpose of this paper is to determine the peroxide value (PV), p‐anisidine and total oxidation value (TOTOX) values of imported edible oils in Iran.

A total 196 oil samples of different origin and types (corn, olive, canola and grape‐seed oil) were collected randomly from Boushehr port of Iran and a total 27 oil samples were also collected from frying pans used to deep‐fry local food items at different restaurants in Boushehr city.

The PVs ranged from 1.38‐13.74, 3.90‐20.00, 0.83‐2.99, 0.67‐11.95 and 0.00‐9.96 mequiv/kg found in refined olive oil, virgin olive oil, canola oil, grape‐seed oil and corn oil, respectively. The results showed that PVs of 18.37 percent of imported oil and 62.96 percent of frying oils from restaurant exceeded the maximum acceptable limits set by Institute of Standards and Industrial Research of Iran (ISIRI) (2‐20 mequiv/kg for different types of oils). P‐anisidine value ranged from 0.89‐27.56 mequiv/kg in imported oils and 2.21‐30.76 mequiv/kg found in frying oil from restaurants. The TOTOX value increased linearly with peroxide values and p‐anisidine values. It ranged from 0.89‐76.62.

Fried foods are very common in Iranians' diet. A major portion of the edible oils in Iran are imported from other countries through Boushehr port. ISIRI has set maximum acceptable limit for PVs in different oils imported to the country. The possible effects of storage on oil oxidation are the original criteria of this research. The results of the study indicate that inappropriate storage of edible oils and their use in frying applications at restaurants facilitate oil oxidation and deterioration.

This study aims to apply a numerical meshless method, namely, the boundary knot method (BKM) combined with the meshless analog equation method (MAEM) in space and use a semi-implicit scheme in time for finding a new numerical solution of the advection–reaction–diffusion and reaction–diffusion systems in two-dimensional spaces, which arise in biology.

First, the BKM is applied to approximate the spatial variables of the studied mathematical models. Then, this study derives fully discrete scheme of the studied models using a semi-implicit scheme based on Crank–Nicolson idea, which gives a linear system of algebraic equations with a non-square matrix per time step that is solved by the singular value decomposition. The proposed approach approximates the solution of a given partial differential equation using particular and homogeneous solutions and without considering the fundamental solutions of the proposed equations.

This study reports some numerical simulations for showing the ability of the presented technique in solving the studied mathematical models arising in biology. The obtained results by the developed numerical scheme are in good agreement with the results reported in the literature. Besides, a simulation of the proposed model is done on buttery shape domain in two-dimensional space.

This study develops the BKM combined with MAEM for solving the coupled systems of (advection) reaction–diffusion equations in two-dimensional spaces. Besides, it does not need the fundamental solution of the mathematical models studied here, which omits any difficulties.

This study aims to investigate drivers of co-branding, and the relative strength of these drivers within the Persian Gulf Pro League (PGPL). The study examines sport sponsorship, and specifically the relationship between professional football teams and on-field apparel sponsors.

Sixteen experts participated in semi-structured interviews and ranked the co-branding drivers. The expert opinions were organized into estimates and triangular fuzzy numbers were established before the Mamdani Fuzzy Inference System converted the fuzzy outputs into crisp output values using the Centroid method. Next, the rankings of the drivers by the same 16 participants were analyzed using the analytical hierarchy process (AHP).

The study identified four main factors with 19 indicators: brand management (i.e. enhancing brand value, utilizing the knowledge and experience of partner brands, brand position, brand identity, brand equity and brand image), partner relationships (i.e. satisfaction, mutual trust, commitment, common interest, product reliability and innovative strategies), marketing factors (i.e. marketing mix, market position, competitive advantage and entry into new domestic markets) and supporting factors (i.e. copyright, contracts and social media law). The AHP identified the most influential factors as marketing, partner relationships, brand management and support.

Based on the study’s findings, the authors recommend that PGPL teams adopt a partnership mindset, seek alignment of values and recognize the plurality of stakeholders to a sponsorship and their relationships to each other. The study highlights the challenges of co-branding activities in a developing country where trademark laws are not well developed.

This paper proposes an innovative intelligent simulation-based construction planning framework that introduces a new approach to simulation-based construction planning.

In this approach, the authors developed an ontological inference engine as an integrated part of a constraint-based simulation system that configures the construction processes, defines activities and manages resources considering a variety of requirements and constraints during the simulation. It allows for the incorporation of the latest project information and a deep level of construction planning knowledge in the planning. The construction planning knowledge is represented by an ontology and several semantic rules. Also, the proposed framework uses the project building information model (BIM) to extract information regarding the construction product and the relations between elements. The extracted information is then converted to an ontological format to be useable by the framework.

The authors implemented the framework in a case study project and tested its usefulness and capabilities. It successfully generated the construction processes, activities and required resources based on the construction product, available resources and the planning rules. It also allowed for a variety of analyses regarding different construction strategies and resource planning. Moreover, 4D BIM models that provide a very good understanding of the construction plan can be automatically generated using the proposed framework.

The active integration between BIM, discrete-event simulation (DES) and ontological knowledge base and inference engine defines a new class of construction simulation with expandable applications.

New business practices and the globalization of markets force firms to take innovation as the fundamental pillar of their competitive strategy. Research and Development (R&D) plays a vital role in innovation. As technology advances and product life cycles become shorter, firms rely on R&D as a strategy to invigorate innovation. R&D project portfolio selection is a complex and challenging task. Despite the management's efforts to implement the best project portfolio selection practices, many projects continue to fail or miss their target. The problem is that selecting R&D projects requires a deep understanding of strategic vision and technical capabilities. However, many decision-makers lack technological insight or strategic vision. This article aims to provide a method to capitalize on the expertise of R&D professionals to assist managers in making informed and effective decisions. It also provides a framework for aligning the portfolio of R&D projects with the organizational vision and mission.

This article proposes a new strategic approach for R&D project portfolio selection using efficiency-uncertainty maps.

The proposed strategy plane helps decision-makers align R&D project portfolios with their strategies to combine a strategic view and numerical analysis in this research. The proposed strategy plane consists of four areas: Exploitation Zone, Challenge Zone, Desperation Zone and Discretion Zone. Mapping the project into this strategic plane would help decision-makers align their project portfolio according to the corporate perspectives.

The new approach combines the efficiency and uncertainty dimensions in portfolio selection into an integrated framework that: (i) provides a complete representation of the stochastic decision-making processes, (ii) models the endogenous uncertainty inherent in the project selection process and (iii) proposes a computationally practical and visually unique solution procedure for classifying desirable and undesirable R&D projects.

Investors’ decision-making is based on quantitative and rational analyses, and some other factors deriving from the market expectations are also contribute significantly on the shareholders’ response to market interactions. The present study aims to discover whether emotional intelligence and thinking style have a significant effect on the quality of investors’ decision-making.

To gather data, a questionnaire was designed and developed and distributed among the participants during the first half of 2015. Moreover, the SAS software and the log-linear method was used to test the hypotheses.

The results show that emotional intelligence, thinking style and quality of decision-making are not dependent and emotional intelligence and thinking style are not interdependent on each other.

The current study used a unique model to test the hypotheses, and the results may be different from those of previous studies.