Corporate impression formation in online communities: a qualitative study

Purpose: This study aims to evaluate elements of corporate communication in online communities (OCs) and their influence on corporate impression formation. Interactive online platforms such as OCs are growing. Companies are discovering their importance and increasingly include OCs in their communication activities. The present study identifies the underlying components relevant to successful corporate communication in OCs, and further explore if and how online community members (OCMs) expect companies to communicate with them, explaining how corporate impressions are formed. Design/methodology/approach: A qualitative research method was chosen, consisting of two stages. In stage one, seventeen expert interviews with academics and practitioners were conducted, and in stage two, twelve OCMs were interviewed to clarify the concepts and gain new insights. Findings: The study gains new knowledge relating to corporate communication in OCs and image formation. Specifically, the authors identify and confirm important key constructs in corporate impression formation in OCs, namely, relevance of messages, communication style, social context cues, affiliation, perceived similarity, source credibility and interpersonal communication. Furthermore, a conceptual model is proposed on the relationship between communication elements relevant in online communities and their influence on corporate impression. Theoretical and practical implications: The study helps to refine existing concepts of corporate impression formation in OCs. It is suggested that understanding how corporate impression is formed in OCs helps companies to participate in virtual networks, improving their corporate impression

Localization of computer-mediated communication and corporate impression on online communities

Purpose The purpose of this paper is to investigate the importance of localizing online communities (OCs) and examines how OC members form impressions of organizations that use OCs in their communication activities. A conceptual framework and measurement scale are developed that consist of complex latent constructs. Design/methodology/approach A sequential multi-method approach is adopted with both qualitative and quantitative investigations. Using Structural equation modeling, the research refines and validates the measurement scales of impression formation in OCs. Findings Findings reveal that comprehensive messages have a direct effect on the impressions that an OC member forms. In particular, social context cues are an important predictor of online community corporate impression (OCCIP). Source credibility, affiliation, characteristics and interpersonal communication are all critical to OCCIP, which in turn, influence members’ attitudes toward the company and the intention to use it again. Surprisingly, relevance, timeliness, accuracy and perceived similarity did not have any significant effect on the corporate impression. Originality/value Three contributions are offered: First, the study provides reliable scales for measuring OCCIP. Second, support is given to the conceptual model that links OCCIP to a set of consequences, namely, attitudes toward the company, intention to use the company, and word-of-mouth. Finally, the study is conducted across two different and unique types of OC contexts, stipulating further insights into the localization of OCs

Variability in oxidative degradation of charcoal: influence of production variables and environmental exposure

<p>Charcoal is a key component of the Black Carbon (BC) continuum, where BC is characterized as a recalcitrant, fire-derived, polyaromatic material. Charcoal is an important source of palaeoenvironmental data, and of great interest as a potential carbon sink, due to its high apparent environmental stability. However, at least some forms of charcoal are clearly susceptible to environmental alteration and degradation over relatively short timescales. Although these processes have importance for the role of charcoal in global biogeochemistry, they remain poorly understood.</p> <p>Here we present results of an investigation into the susceptibility of a range of charcoal samples to oxidative degradation in acidified potassium dichromate. The study examines both freshly-produced charcoal, and charcoal exposed to environmental conditions for up to 50,000 years. We compare the proportion of carbon present in different forms between the samples, specifically with respect to the relative chemical resistance of these forms. This was undertaken in order to improve understanding of the post-depositional diagenetic changes affecting charcoal within environmental deposits.</p> <p>A wide range in chemical compositions are apparent both within and between the sample groups. In freshly-produced charcoal, material produced at 300 °C contains carbon with more labile forms than charcoal produced at ≥400 °C, signifying a key chemical change over the 300–400 °C temperature range. Charcoal exposed to environmental depositional conditions is frequently composed of a highly carboxylated aromatic structure and contains a range of carbon fractions of varying oxidative resistance. These findings suggest that a significant number of the environmental charcoals have undergone post-depositional diagenetic alteration. Further, the data highlight the potential for the use of controlled progressive oxidative degradation as a method to characterize chemical differences between individual charcoal samples.</p&gt

Using agent-based modelling to simulate social-ecological systems across scales

Agent-based modelling (ABM) simulates Social-Ecological-Systems (SESs) based on the decision-making and actions of individual actors or actor groups, their interactions with each other, and with ecosystems. Many ABM studies have focused at the scale of villages, rural landscapes, towns or cities. When considering a geographical, spatially-explicit domain, current ABM architecture is generally not easily translatable to a regional or global context, nor does it acknowledge SESs interactions across scales sufficiently; the model extent is usually determined by pragmatic considerations, which may well cut across dynamical boundaries. With a few exceptions, the internal structure of governments is not included when representing them as agents. This is partly due to the lack of theory about how to represent such as actors, and because they are not static over the time-scales typical for social changes to have significant effects. Moreover, the relevant scale of analysis is often not known a priori, being dynamically determined, and may itself vary with time and circumstances. There is a need for ABM to cross the gap between micro-scale actors and larger-scale environmental, infrastructural and political systems in a way that allows realistic spatial and temporal phenomena to emerge; this is vital for models to be useful for policy analysis in an era when global crises can be triggered by small numbers of micro-level actors. We aim with this thought-piece to suggest conceptual avenues for implementing ABM to simulate SESs across scales, and for using big data from social surveys, remote sensing or other sources for this purpose

Inventory of long and short term future needs of food chain users for future functions of internet

vokKVIKA

The Effect That Project Management Certification Has on Employability: Agent's Perceptions from Spain

This study analyses the effects that the project management certification has on employability. This analysis started with a participative process in which various groups of experts who are involved in the certification of people were consulted. A personal interview was carried out amongst 106 professionals —certifying bodies, training institutions, the civil service, and international organisations— and amongst professional who are certified in project management by the International Project Management Association in Spain. The results show that the certification emerges as a powerful tool for improving employability. The effects are demonstrated across two complementary aspects: internal company aspects and external aspects relating to the labour market. Finally, by compiling the different agents’ opinions, a series of measures emerge for improving the accreditation processes as an employability tool and increasing the mutual learning between public and private actors

Quality Assurance Driving Factors as Antecedents of Knowledge Management: a Stakeholder-Focussed Perspective in Higher Education

Similar to many other types of organisations, the successful development of higher education institutions generally depends on proactive multi-stakeholder management strategy. As a social responsibility of universities, quality assurance (QA) of higher education is already an established research domain. However, the issues that serve as driving factors in higher education’s quality are acknowledged in this vast knowledge stream in a dispersed way. An objective of this paper is to provide a quick snapshot of the major QA driving factors in higher education. Another objective here is to discuss the significance of these existing QA driving factors in higher education as prospective antecedents of knowledge management among the key stakeholders in the higher education sector and beyond. An inductive constructivist approach is followed to review the relevant QA driving factors from the extant scholarly views. A number of relevant factors are précised from the literature that would be instrumental to uphold quality in higher education. The discussion demonstrates that these factors are also significant to transfer and share knowledge between the key stakeholders not only for universities, but also for businesses, governments and other organisational stakeholders. The paper proposes a framework of the QA drivers’ application for meaningful knowledge transfer between diverse stakeholders and clarifies the framework’s managerial implications. This conceptual framework specifies different scenarios and perspectives of QA drivers’ application in the global education sector. The academic novelty is based on the inductive approach applied in the paper. QA practitioners will be able to follow these factors as steering phenomena to effectively assure quality, in relation to their multi-stakeholder relationships in higher education and beyond

Interference with work in fibromyalgia - effect of treatment with pregabalin and relation to pain response

BACKGROUND: Clinical trials in chronic pain often collect information about interference with work as answers to component questions of commonly used questionnaires but these data are not normally analysed separately. METHODS: We performed a meta-analysis of individual patient data from four large trials of pregabalin for fibromyalgia lasting 8-14 weeks. We analysed data on interference with work, inferred from answers to component questions of Fibromyalgia Impact Questionnaire (FIQ), Short Form 36 Health Survey, Sheehan Disability Scale, and Multidimensional Assessment of Fatigue, including "How many days in the past week did you miss work, including housework, because of fibromyalgia?" from FIQ. Analyses were performed according to randomised treatment group (pregabalin 150-600 mg daily or placebo), pain improvement (0-10 numerical pain rating scale scores at trial beginning vs. end), and end of trial pain state (100 mm visual analogue pain scale [VAS]). RESULTS: Comparing treatment group average outcomes revealed modest improvement over the duration of the trials, more so with active treatment than with placebo. For the 'work missed' question from FIQ the change for patients on placebo was from 2.2 (standard deviation [SD] 2.3) days of work lost per week at trial beginning to 1.9 (SD 2.1) days lost at trial end (p < 0.01). For patients on 600 mg pregabalin the change was from 2.1 (SD 2.2) days to 1.6 (SD 2.0) days (p < 0.001). However, the change in days of work lost was substantial in patients with a good pain response: from 2.0 (SD 2.2) days to 0.97 (SD 1.6) days (p < 0.0001) for those experiencing >/= 50% pain improvement and from 1.9 (SD 2.2) days to 0.73 (SD 1.4) days (p < 0.0001) for those achieving a low level of pain at trial end (<30 mm on the VAS). Patients achieving both >/= 50% pain improvement and a pain score <30 mm on the VAS had the largest improvement, from 2.0 (SD 2.2) days to 0.60 (SD 1.3) days (p < 0.0001). Analysing answers to the other questions yielded qualitatively similar results. CONCLUSIONS: Effective pain treatment goes along with benefit regarding work. A reduction in time off work >1 day per week can be achieved in patients with good pain responses