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Presents the results of a questionnaire survey which revealed that an estimated 590,000 enquiries were made to general enquiry offices of the national offices of 111 national voluntary environmental organizations in 1994. Over three‐quarters of organizations experienced an increase over the past two years and one‐third expect to increase their enquiry services this year. Consequently effective policies, strategy and marketing are becoming more important as are guidelines concerning response times, and the need to monitor enquiries. More than 50 per cent of enquiries come from the educational sector which prefers the postal service to make enquiries. In contrast members need more detailed information and prefer a telephone service. Several organizations have developed Internet services, and almost all utilize wordprocessing. Others use desk top publishing, and/or databases to organize their data. Identifies a high level of commitment to the general enquirer, together with the need to be cost effective in preparing material, delivering a service and meeting the aims of the organization.

This paper has two parts, namely, Part 1 and Part 2. The purpose of this paper (Part 1) is to explain an adaptive relational paradigm that can efficaciously respond to the complex issues in wicked problems. A relational paradigm can work across the disciplines and fields that characterise wicked problems. It is also methodologically plural – that is it uses various inquiry instruments together. It becomes a hybrid approach when involving narratives and structured processes enabling the adopted instruments to converge to a coherent (living) story. The purpose of Part 2 will be to provide a theoretical framework that with illustration responds to Part 1.

Wicked problems and their issues do not respect academic disciplines, and as they are multidisciplinary, they require a cross-disciplinary approach when seeking resolution. Autonomous agency theory is adopted capable of structuring cross-disciplinary inquiry processes and formulating a hybrid inquiry paradigm. The paper sets up a narrative agency approachable of delivering a structure that results in a general theory of hybrid inquiry.

The paradigm, which traditionally defines a field of study conceptualises and regulates approaches that enable inquiry into behavioural systems. Mono-disciplinary, they are not suitable for the resolution of issues that arise from cross-disciplinary wicked problems. To resolve this, a relational paradigm has been defined within which sits a cross-disciplinary hybrid inquiry system. A general theory of hybrid inquiry has been offered. It is shown that agency theory can successfully embrace a relational paradigm.

To determine the limitations of this theory there is a need to provide exemplars, which is currently premature. Another outcome is to centre on modes of practice in hybrid inquiry, but there is insufficient space for this here.

This paper makes an original contribution by formulating a structured approach on the creation of a relational paradigm capable of supporting hybrid inquiry. It also adopts cross-disciplinary theory to make its case for a relational paradigm, recognising that wicked problems are cross-disciplinary. As part of the regulatory process, it connects Rittel’s IBIS schema intended to resolve wicked problems issues and the Johari Window and explains how they would relate. A means is suggested for determining the degree of undecidability of wicked problems issues, and hence, that of the models that inquiry produces. This uses formative characteristics that define a modelling space. The paper also adopts Husserl’s concept or lifeworld, which acts as a channel for complex narrative theory through which regulative processes are enabled.

Research on sentiment analysis were mostly conducted on product and services, resulting in scarcity of studies focusing on social issues, which may require different mechanisms due to the nature of the issue itself. This paper aims to address this gap by developing an enhanced lexicon-based approach.

An enhanced lexicon-based approach was employed using General Inquirer, incorporated with multi-level grammatical dependencies and the role of verb. Data on illegal immigration were gathered from Twitter for a period of three months, resulting in 694,141 tweets. Of these, 2,500 tweets were segregated into two datasets for evaluation purposes after filtering and pre-processing.

The enhanced approach outperformed ten online sentiment analysis tools with an overall accuracy of 81.4 and 82.3% for dataset 1 and 2, respectively as opposed to ten other sentiment analysis tools.

The study is novel in the sense that data pertaining to a social issue were used instead of products and services, which require different mechanism due to the nature of the issue itself.

Discusses case studies of general enquiry services in 20 high‐profile national voluntary environmental organizations. Highlights public concern about the environment and the important role these services play in meeting demand for environmental information. Shows that they supply many different categories of enquirer with a wide range of environmental information, and that in doing so they both serve organizational aims and raise general awareness of environmental issues. This often means striking a delicate balance between what information can be provided free and what requires a charging policy. Found that some organizations increasingly employ marketing techniques to establish a recognizable profile in the minds of the public, their enquiry services working closely with publicity and membership departments. Also found some confusion in the minds of the public regarding which organization(s) to contact, and overlap and duplication of material. Suggests further research to look at ways of overcoming these problems.

A growing body of research outlines how to best facilitate and ensure methodological rigor when using dictionary-based computerized text analyses (DBCTA) in organizational research. However, these best practices are currently scattered across several methodological and empirical manuscripts, making it difficult for scholars new to the technique to implement DBCTA in their own research. To better equip researchers looking to leverage this technique, this methodological report consolidates current best practices for applying DBCTA into a single, practical guide. In doing so, we provide direction regarding how to make key design decisions and identify valuable resources to help researchers from the beginning of the research process through final publication. Consequently, we advance DBCTA methods research by providing a one-stop reference for novices and experts alike concerning current best practices and available resources.

This paper aims to examine the accountants’ stereotype as it is developed within a sample of fiction novels. The descriptions of accountants in these novels are used to determine the attributes associated with the accountants’ image. Further, the purpose is to identify and compare the results of the present study with those images that have been identified in previous studies.

The descriptions in the novels are analyzed using context analysis and the corpus available through the General Inquirer (GI). A comparison is made between the results found in the present study using context analysis with previous studies using social-cultural methods to investigate stereotypes. The current paper attempts to avoid investigator bias based on social learning; lessens subjective interpretations; and rather than using a non-transferable rating scale unique to one article, it uses a widely accepted evaluation measure in the GI.

The image of accountants in the sample of novels was found to be positive rather than the negative image described in previous papers. The conclusion reached is that past studies of the accountants’ image have not eliminated social-cultural biases from their research results. The present study suggests that an image filled with negative characteristics may vary with the medium, and there may not be a universal image of the accountant.

One weakness of content analysis is that positive words are used in phrases that may have negative connotations. For example, the word “cool” as related to a person may have the meaning that a person is really neat or that they are standoffish. Another limitation of context analysis is coding bias as a consequence of the subjectivity among the various individuals performing the coding. The corpus used in the GI attempts to overcome these issues.

Managers’ potential interactions with accountants are affected by their internal perceptions of the accounting profession. If accountants are associated with negative images as outlined in previous research, why is their decision-making input still widely used? An understanding of why a group of such professionals are considered to be important to decision-making needs to be analyzed. If managers truly believe accountants are weak, negative and short-sighted, as has been confirmed in previous research, accountants and their skill set would not be used by managers. Yet, their skills are sought out by managers. The dichotomy is investigated in the paper.

Stereotypes affect members of the public in their support, approach and interactions with a profession. The job functions available to a profession are affected and restricted by its stereotype. Unfortunately, many people develop distortions and biases in their perceptions and react toward a group based on those internally held perceptions. It is worthwhile to understand how a group is viewed in society to be able to understand how they can deal with these stereotypes.

The approach in the paper is the first application of context analysis to the study of the accountant’s image. In this context, data identified in the structure of a text provide a basis to the underlying patterns in the text and by implication its attributes. Unlike the past studies, which rely on social learning to evaluate the accountants’ image, the current research combines content analysis with corpus linguistics to identify themes and the significance of relationships in the data set.

This paper aims to explain the contextual basis for examining the accountant stereotype, describe the multiple influences on its development and propose directions for further research.

This paper takes the form of a review. It discusses a research paper published in the current issue of Meditari Accountancy Research which undertakes a content analysis using the General Inquirer to identify the image of accountants as represented in novels.

Several issues need to be considered when examining these results. The first of these is that the portrayal of accountants in the media has become more positive in recent times. Second, the media is just one influence on the development of stereotypes; third, the media may have limited influence on stereotype formation.

The findings have implications for further research on the development and maintenance of the accountant stereotype.

This review contributes to the debate on possible interventions to create a more positive image of accountants.

The purpose of this paper is to determine systematically the broader relationship between news media sentiment, extracted through textual analysis of articles published by leading US newspapers, and the securitized real estate market.

The methodology is divided into two stages. First, roughly 125,000 US newspaper article headlines from Bloomberg, The Financial Times, Forbes and The Wall Street Journal are investigated with a dictionary-based approach, and different measures of sentiment are created. Second, a vector autoregressive framework is used to analyse the relationship between media-expressed sentiment and REIT market movements over the period 2005–2015.

The empirical results provide significant evidence for a leading relationship between media sentiment and future REIT market movements. Furthermore, applying the dictionary-based approach for textual analysis, the results exhibit that a domain-specific dictionary is superior to a general dictionary. In addition, better results are achieved by a sentiment measure incorporating both positive and negative sentiment, rather than just one polarity.

In connection with fundamentals of the REIT market, these findings can be utilised to further improve the understanding of securitized real estate market movements and investment decisions. Furthermore, this paper highlights the importance of paying attention to new media and digitalization. The results are robust for different REIT sectors and when conventional control variables are considered.

This paper demonstrates for the first time, that textual analysis is able to capture media sentiment from news relevant to the US securitized real estate market. Furthermore, the broad collection of newspaper articles from four different sources is unique.

The study applies a multimodal approach to position aesthetic innovation, i.e., the strategic use of aesthetic design attributes, such as color and shape, as an institutionalized aspect of competition, rather than as a firm-specific differentiation strategy, in settings that favor the symbolic meanings of products. Empirically, the study offers a detailed case study of the personal computer (PC) industry to examine the institutionalization of aesthetic innovation as a dimension of competition across industrial firms. The study examines the color and shape of PCs over the 1992–2003 period and situates changes to these attributes in the competitive conditions that characterized the industry, paying particular attention to the introduction of the Apple iMac in 1998. Furthermore, it examines the discursive manifestations of aesthetic innovation by content analysis of reviews of PCs and interviews with industry executives. Findings demonstrate that, in a period coinciding with a decline in demand for PCs and an overall mature market as well as with the introduction of the iMac, the majority of firms engaged in aesthetic innovation and used a greater number of aesthetic words in describing their PCs.

The purpose of this paper is to develop a systematic approach to extract users’ feelings and emotions about their experiences in hospitals from online reviews and rank the places using multi-criteria decision making (MCDM) techniques based on the aggregated sentiment score.

The proposed model used a linguistic approach to extract the sentiment words from the free text. It used term frequency-inverse document frequency values to represent features of various places in bag-of-words format. Sentiment dictionary is used to calculate senti-scores. It used different MCDM techniques like simple additive weight and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods for ranking hospitals based on their aggregated senti-score.

Statistical correlation analysis between the rankings of places reveals that the TOPSIS method is the most suitable ranking technique among other MCDM techniques. By improving the senti-score, one can bring their enterprise to the top position.

Data set is collected from different websites like Twitter, Facebook, etc., for various services/features. Moderate amount of reviews are collected for each place. But not all users give their views on the social media websites. It would be essential to collect responses from all the customers who avail different services at different places.

The sentiment analysis model proposed in this paper enables B2C and C2C commerce. Business may take suitable measures to overcome their issues/problems raised by the consumer. Consumers can share and educate other consumers about their experiences.

The development of internet has strong influence in all types of industries like healthcare. The availability of internet has changed the way of accessing the information and sharing their experience with others. This paper recognizes the use and impact of social media on the healthcare industry by analyzing the users’ feelings expressed in the form of free text. A suitable decision-making technique is applied to rank the places, which enables the users to plan their treatment place in a better way.

The paper develops a novel approach by applying the TOPSIS method to rank the different alternative places of the healthcare industry by using the senti-score derived from the users’ feelings, emotions and experiences expressed in the form of free text.