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Knowledge is a key driver for the competitive success of organizations, but about 90 percent of organizational knowledge is inside employees’ minds with personal essence; therefore, this paper provides valuable vision for managers by exploring knowledge acquisition (KA) techniques and personality type. The purpose of this paper is to examine KA techniques and explore the impact of personality type on the KA process in the aerospace industry.

This paper examines KA techniques through an empirical study involving 83 participants to take part in KA sessions. For exploring techniques, a questionnaire was used, and also the Myers-Briggs Type Indicator was used to identify participants’ personality type. The impact of personality type on KA processes was determined by correlation analysis.

Analyses confirmed some association between the type of personality and KA process. In addition, the findings of exploring questionnaire items showed that participants gave the laddering technique the highest rating.

The paper may be of high value to researchers in the field of KA, especially in aerospace industries, because there is very little experimental investigation of KA, and it also provides valuable information and guidelines that hopefully will help researchers to select appropriate KA techniques.

The present study aims to provide a practical and robust assessment technique for assessing countries' investability in global supply chains to practitioners. Thus, the proposed approach can help decision-makers evaluate and select appropriate countries in the expansion process of the global supply chains and reduce risks concerning country (market) selection.

The present study proposes a novel decision-making approach, namely the REF-Sort technique. The proposed approach has many valuable contributions to the literature. First, it has an efficient basic algorithm and can be applied to solve highly complicated decision-making problems without requiring advanced mathematical knowledge. Besides, some characteristics differentiate REF-Sort apart from other techniques. REF-Sort employs the value or value range that reflects the most typical characteristic of the relevant class in assignment processes. The reference values in REF-Sort and center profiles are similar in this regard. On the other hand, class references can be defined as ranges in REF-Sort. Secondary values, called successors, can also be employed to assign a value to the appropriate class. REF-Sort can also determine the reference and successor values/ranges independently of the decision matrix. In addition, the proposed model is a maximally stable and consistent decision-making tool, as it is resistant to the rank reversal problem.

The current papers' findings indicate that countries have different features concerning investment. Hence, the current paper pointed out that only 22% of the 95 countries are investable, whereas 19% are risky. Thus, decision-makers should make detailed evaluations using robust, powerful, and practical decision-making tools to make more reasonable and logical decisions concerning country selection.

The current paper proposes a novel decision-making approach to evaluate. According to the authors' information, the proposed model has been applied to evaluate investable countries for the global supply chains for the first time.

This paper presents a recommendation on how one requirement elicitation technique supports the other techniques in defining system requirement for a case-based system. A case-based lesson planning system aims to assist teachers in constructing quality lesson plans through its cycle which begins with case retrieval. To retrieve relevant lesson plans, appropriate inputs should be used and the intended output needs to be identified via suitable requirement elicitation techniques. The use of a single technique might result in inadequate requirement specification, thus affecting the quality of the output requirements as well as quality of the final information system.

Requirement elicitation was carried out in three phases: phase I involved document review, phase II was an interview and phase III used a survey. Respondents of the study comprised experienced teachers as well as new teachers. This research used both qualitative and quantitative approaches to answer the research questions, which involved semi-structured interviews, document review and survey to collect the relevant data. Documents were reviewed by analysing lesson plans from three different countries. In addition, a review of lesson plans prepared by teachers and the standard syllabus were carried out. Findings from the document review were used in structured interviews using a teach-back technique, sorting and matrix of attribute-values. A questionnaire was then constructed based on the interviews and document review.

The findings of this initial study, as part of a larger research investigation, would help in knowledge modelling and representation. This will contribute to effective case retrieval via good design of the system input and output. The study identifies important elements of a lesson plan according to their ranking. Keywords that were used by teachers as input for retrieval were identified together with the expected output.

The main goal of requirement elicitation is to specify complete and detailed requirements of the proposed system. There are two main types of requirement: functional and non-functional requirements. This paper only focuses on functional requirements – specifically case retrieval with appropriate input and output.

Various requirement engineering (RE) techniques can be applied in different phases of requirement elicitation. Suitable technique should be chosen at different phases of RE, as it is important for triangulation purposes. Incomplete RE will affect the modelling part of system development, and, thus, affect the design and implementation of an information system.

Software engineer or anybody involved in system development should plan accordingly for the RE process. They should be creative and reasonable in selecting suitable RE techniques to be applied.

This study aims to gain understanding of the various aspects of lesson planning. Crucial knowledge in lesson planning that was gathered from the elicitation phase is modelled to have a good understanding of the problems and constraints among teachers. The findings of this initial study, as part of a larger research investigation, would help in knowledge modelling and representation. This will contribute to effective case retrieval via a good design of the system input and output.

This paper aims to explore the relationship between personality traits (introversion versus extroversion) and knowledge acquisition (KA) techniques.

The major methodology of the current study is survey. Results are based on 152 usable responses provided by experts in different industries including electronic, communication, information technology, computer and biology. The major analytical technique used is Pearson correlation analysis.

According to the results, there are significant relationships between personality traits (i.e. introversion versus extroversion) and KA techniques.

This study was conducted on data from 152 Iranian experts which limits the generalizability of the results. This limitation can be addressed by future studies conducting similar studies on cross-country samples. Further, due to the analytical technique adopted in this study, causality implications cannot be drawn from the results.

This study reveals linkages between personality traits (i.e. introversion versus extroversion) and KA techniques. Results shed light on the KA process for both scholars and practitioners involved in KA programs in the organizations.

Video game players, equipped with image capturing and rendering features, are taking photographs within digital worlds. This study examines video game photography as a documentary practice. By considering the experiences of a gamer-turned-photographer, this study offers an initial synthesis of this new document phenomenon and provides considerations for categorizing such photos.

To discover the attributes of video game photography, this study utilized an auto-hermeneutic approach with self-interviewing and picture-sorting techniques. The resulting data were analyzed using interpretative phenomenological analysis.

Without tangible artifacts to commemorate gaming experiences, photographs empower the player to document and artistically reconstruct moments from purely digital worlds. The three themes from this study's findings – that video game photographs act as (1) vehicles for storytelling, (2) creative trophies, and (3) aesthetic tokens – reveal how personally meaningful documents emerge from this medium. Furthermore, the findings uncover the fuzzy boundaries between play, artwork, and documentation.

This study explores techniques for categorizing in-game photographs and eliciting gameplay memories. The methods outlined may assist video game researchers, conservators, and archivists with organizing photographs as context materials.

By considering the lived experiences between one individual and their video game photographs, this study expands document theory into the underrepresented hobby of video games.

The purpose of this paper is to propose a multi-objective differential evolution algorithm named as MOMR-DE to resolve multicast routing problem. In mobile ad hoc network (MANET), multicast routing is a non-deterministic polynomial -complete problem that deals with the various objectives and constraints. Quality of service (QoS) in the multicast routing problem mainly depends on cost, delay, jitter and bandwidth. So the cost, delay, jitter and bandwidth are always considered as multi-objective for designing multicast routing protocols. However, mobile node battery energy is finite and the network lifetime depends on node battery energy. If the battery power consumption is high in any one of the nodes, the chances of network’s life reduction due to path breaks are also more. On the other hand, node’s battery energy had to be consumed to guarantee high-level QoS in multicast routing to transmit correct data anywhere and at any time. Hence, the network lifetime should be considered as one objective of the multi-objective in the multicast routing problem.

Recently, many metaheuristic algorithms formulate the multicast routing problem as a single-objective problem, although it obviously is a multi-objective optimization problem. In the MOMR-DE, the network lifetime, cost, delay, jitter and bandwidth are considered as five objectives. Furthermore, three QoS constraints which are maximum allowed delay, maximum allowed jitter and minimum requested bandwidth are included. In addition, we modify the crossover and mutation operators to build the shortest-path multicast tree to maximize network lifetime and bandwidth, minimize cost, delay and jitter.

Two sets of experiments are conducted and compared with other algorithms for these problems. The simulation results show that our proposed method is capable of achieving faster convergence and is more preferable for multicast routing in MANET.

In MANET, most metaheuristic algorithms formulate the multicast routing problem as a single-objective problem. However, this paper proposes a multi-objective differential evolution algorithm to resolve multicast routing problem, and the proposed algorithm is capable of achieving faster convergence and more preferable for multicast routing.

The purpose of this paper is to advocate that qualitative research tools can replace and merge with quantitative ones, in order to simplify the task of gathering and processing information.

The study demonstrates how a qualitative technique (card sort) was successfully used to replace a quantitative tool (exploratory factor analysis) for the task of construct development, saving time, funds and sample units. All the steps in the card sort technique are described and exemplified by its application to develop two constructs in a research about newspapers internal communication management.

The constructs were tested through confirmatory factor analysis across a sample of 184 Brazilian newspapers, satisfying all fit indexes and other statistical requirements.

Although the card sort technique successfully substituted exploratory factor analysis in this research, such a procedure must be used carefully. Whenever exploratory factor analysis is feasible, it must be done. Moreover, the study reports only one case in which the substitution was successful. Therefore, the technique must be repeated to get its validation.

As the processes of gathering data are simplified, the easier it is for managers to base their decisions on research and information.

The study proves empirically the feasibility of merging qualitative and quantitative approach – a procedure that has been advocated but hardly demonstrated. Card sort can be recommended as an interesting tool for corporate communications research, at both managerial and academic levels.

This study examines the role of technology as a driver of sustainable tourism perceptions among Generation Z.

The work considers the perspective of locals in Pakistan and uses a multi-method, multiphase embedded research design approach.

The research findings demonstrated that technology has a positive correlation with the environmental, socio-cultural and economic dimensions of sustainable tourism perception among Generation Z. Therefore, technology could be considered a dimension of sustainable tourism perception for locals, but perceptions differ significantly depending on the size of the city of the participant. The results of the experimental design phase that utilized picture stimuli demonstrated a linear relationship between technology and sustainability and enhanced their definition and implementation for developing countries.

This research diverges from most past research on these topics by focusing on Generation Z, for whom digital media and technology play a crucial role and for whom these technologies are positively correlated with sustainability and its overall perception. Implications for policies and practices for emerging country governments are provided.

Literature reveals that there is a paucity of instruments to measure multidimensional top management support (TMS). The multidimensionality and the complexity of the TMS cannot be reflected by a single-dimensional construct. The purpose of this paper is to develop and validate an instrument for the measurement of multidimensional TMS.

In this cross-sectional study, exploratory and confirmatory factor analyses were performed to check the validity and model fitness based on sample data collected from the PMI community. Ordinary least square and structural equation modeling techniques were used to test the research hypotheses and validate multidimensional TMS.

The findings revealed a significant positive correlation among all dimensions of top management and their significant influence on project success, especially on project efficiency and team dimensions.

Based on the existing knowledge through a coherent and refined process, the development and validation of a top management support questionnaire (TMSQ) made a significant contribution to theories and research methods.

Multidimensional TMS provides an opportunity to ensure provision of apt assistance throughout the implementation of projects for improving organizational performance across the industries.

This study targeted a sample size of 300 to develop and validate an instrument, which is in line with previous research studies on the development and validation of a reliable instrument. To operationalize TMSQ, this study adopted an online survey and received 208 responses (69 percent) from the PMI community.

This study aims to determine whether the stock holdings of equity mutual funds are informative for predicting future stock performance in the Chinese market. It is a puzzle that actively managed mutual funds underperform passive benchmarks, whereas retail investors still delegate investment decisions to the fund managers. The present study sheds light on whether mutual fund managers possess security selection skills in their top ten holdings.

By regression analysis and portfolio sorting, this study focuses on 830 Chinese A-share stocks in the industry research reports from the Guotai Junan Securities Company. It collects mutual fund's top ten holdings data from the Wind Financial Terminal between 2019Q1 and 2021Q1. As robustness checks, the result holds for the fixed-effect model, an additional measure of ranks in the top ten holdings, the predictability test based on the confusion matrix and two stage least square (2SLS) regression.

The authors find that the top ten holdings by equity mutual funds are informative for predicting stock performance and can provide valuable information for investors to support their decision-making.

The findings of this study provide insightful guidance for retail investors in making investment decisions and support the hypothesis that active fund management adds value.

Firstly, the authors find that the top ten holdings of Chinese mutual funds show significantly positive signals for future stock excess returns, indicating the selection skills of fund managers. Secondly, the above positive relationship exhibits a diminishing marginal effect with more funds holding this stock. Thirdly, the authors find that the predictability horizon of the number of overweighing funds is up to three quarters and then diminishes in the fourth quarter. Finally, investors have a 59% prediction accuracy for the whole stock sample and an 85% precision conditional on the predicted positive subsample to outperform the market. The authors also address the endogeneity and reverse causality issues.