Ahmet Yucel, Musa Caglar, Hamidreza Ahady Dolatsara, Benjamin George and Ali Dag
Machine learning algorithms are useful to effectively analyse, and therefore automatically classify online reviews. The purpose of this paper is to demonstrate a novel text-mining…
Abstract
Purpose
Machine learning algorithms are useful to effectively analyse, and therefore automatically classify online reviews. The purpose of this paper is to demonstrate a novel text-mining framework and its potential for use in the classification of unstructured hotel reviews.
Design/methodology/approach
Well-known data mining methods (i.e. boosted decision trees (BDT), classification and regression trees (C&RT) and random forests (RF)) in conjunction with incorporating five-fold cross-validation are used to predict the star rating of the hotel reviews. To achieve this goal, extracted features are used to create a composite variable (CV) to deploy into machine learning algorithms as the main feature (variable) during the learning process.
Findings
BDT outperformed the other alternatives in the exact accuracy rate (EAR) and multi-class accuracy rate (MCAR) by reaching the accuracy rates of 0.66 and 0.899, respectively. Moreover, phrases such as “clean”, “friendly”, “nice”, “perfect” and “love” are shown to be associated with four and five stars, whereas, phrases such as “horrible”, “never”, “terrible” and “worst” are shown to be associated with one and two-star hotels, as it would be the intuitive expectation.
Originality/value
To the best of the knowledge, there is no study in the existent literature, which synthesizes the knowledge obtained from individual features and uses them to create a single composite variable that is powerful enough to predict the star rates of the user-generated reviews. This study believes that the proposed method also provides policymakers with a unique window in the thoughts and opinions of individual users, which may be used to augment the current decision-making process.
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Abigail Richard, Fred Ahrens and Benjamin George
This study aims to introduce a new prescriptive model to aid both managers and researchers in partner selection for innovation-orientated collaboration. This framework…
Abstract
Purpose
This study aims to introduce a new prescriptive model to aid both managers and researchers in partner selection for innovation-orientated collaboration. This framework demonstrates how prospective partner firms’ complementing bodies of knowledge and goal alignment interact to affect the success of a collaboration.
Design/methodology/approach
The authors use geometric modeling to represent the interrelationships among knowledge similarity/dissimilarity, goal congruence, knowledge complementarity (KC) and innovation in alliance formation. Using this model as a framework, the authors derive relationships among predictors of innovation success and determine how they affect the nature of partnerships under varying conditions of KC.
Findings
This research shows how innovation success is strongly determined by partner selection. Specifically, the authors examine the influence of KC and partner goals on three aspects of a potential research and development (R&D) alliance – the potential level of innovation outcome for the alliance, the boundaries of knowledge sharing and limitations arising from knowledge and goal incongruence and the nature of cooperation.
Originality/value
Although there is broad empirical support that innovation success is influenced by the similarity of R&D partners’ knowledge, further research is still needed to model the relationship more precisely between partner KC and goal alignment. The authors address this gap by developing a model that is both prescriptive and predictive of how innovation success can be achieved in the context of disparate but complementing knowledge and goal sets. The authors conclude with practical implications for practice and future research directions.
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George Augustus Benjamin Aggrey, Lawrence Yaw Kusi, Ebenezer Afum, Victoria Yaa Osei-Ahenkan, Christine Norman, Kenneth Boateng Boateng and Joseph Amponsah Owusu
This study empirically examines the effect of supply chain integration (SCI) on financial performance (FP) and controls for the mediating effects of supply chain agility (SCA)…
Abstract
Purpose
This study empirically examines the effect of supply chain integration (SCI) on financial performance (FP) and controls for the mediating effects of supply chain agility (SCA), supply chain (SC) innovation and operational performance (OP).
Design/methodology/approach
Through a causal research design, structured questionnaires were used for primary data collection from 217 commercial poultry farms (CPFs) operating in the Bono Region of Ghana. Structural equation modeling was reflectively configured to test the formulated hypotheses.
Findings
SCI causes a statistically significant moderate positive variance in OP in terms of cost-effectiveness, order fulfillment rate, operating cycle, inventory turns, business process innovation. SCI is an insignificant weak positive predictor of FP (growth in revenue, profit, return on investment, sales growth) of CPFs operating in Ghana. Furthermore, OP significantly and positively mediates the predictive relationship between SCI and FP. Again, SC innovation significantly mediates the predictive relationship between SCI and OP. However, SCA fails to significantly mediate the predictive relationship between SCI and OP.
Research limitations/implications
Focal firms' characteristics were ignored, although they may determine how SCI affects OP and FP in the presence of SCA and SC innovation.
Originality/value
Empirically, SCI has no direct impact on FP of CPFs but does so indirectly through the mediating role of OP.
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In his classic World Risk Society (1999) Ulrich Beck emphasised modernisation entails a relentless wave of human-made disasters—toxic spills, industrial accidents, transportation…
Abstract
In his classic World Risk Society (1999) Ulrich Beck emphasised modernisation entails a relentless wave of human-made disasters—toxic spills, industrial accidents, transportation stoppages, and power outages, for example. Simultaneously these modern ‘risk societies’ must also withstand natural disasters such as floods, hurricanes, and earthquakes. Building on Beck’s principle that disaster risks accumulate as societies advance technologically, we explore the necessity of public health and political leadership to win over support of the traditional ethnic Black community to implement effectively COVID-19 pandemic policies. The term Black community used in this chapter has been used only for representation and must be interpreted broadly beyond ethnic and discriminatory limitations.
This chapter will show that, to reach their COVID-19 pandemic control objectives, US public health and political officials had to incorporate the longstanding ethnic and racial identity of Black communities. These authorities did this by utilising traditional cultural resources of Black communities such as churches and popular cultural figures. Political, corporate, and public health leadership was also heavily influenced by the Black protests in the months following the George Floyd police murder. Medical policy authorities publicly endorsed and advocated the health and social justice grievances of Black communities while the George Floyd riots raged. This US case study illustrates the power of the ethnic dimension and ideological anti-racism in society’s response to the increasingly complex web of disasters including the COVID-19 pandemic.
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Benjamin J. Broome and Irene L. Cromer
The Americans for Indian Opportunity (AIO), a national Indian organization concerned primarily with tribal governance issues, has sponsored numerous projects during the 1980s…
Abstract
The Americans for Indian Opportunity (AIO), a national Indian organization concerned primarily with tribal governance issues, has sponsored numerous projects during the 1980s which suggest that better models of communication and consensus‐building are desperately needed within Indian tribal communities. Due in part to the use of forms of problem‐solving that are incongruent with tribal values and cultural patterns, many Indian communities have been paralyzed in their efforts to develop consensus on strategic plans. While many tribes have experimented with various forms of conflict management techniques, careful consideration must be given to the appropriateness of the approach employed Because the cultural traditions of Indian communities are rooted in a consensual approach to problem‐solving, dispute resolution approaches imposed by non‐Indian law and bureaucracies often conflict with tribal values. This paper reports the attempt of one tribe, the Winnebago in Nebraska, to introduce a system of planning and problem‐solving adequate for dealing with the needs of the tribal community in a culturally appropriate manner.
Donna Malvey, Myron D Fottler, George W Buck and Robert S Fry
Although we have yet to experience a major bioterrorism event in the U.S., we are nevertheless preparing for such an event. In this paper, we consider the nature of bioterrorism…
Abstract
Although we have yet to experience a major bioterrorism event in the U.S., we are nevertheless preparing for such an event. In this paper, we consider the nature of bioterrorism and the threats and challenges it brings to managing health care organizations. Because existing managerial theory may be inadequate in responding to bioterrorism events, management scholars are advised to approach their research with a great deal of humility and openness. Inasmuch as emerging theoretical frameworks based on complexity science and chaos theory are not fully developed, we propose that stakeholder management theory may be the best approach at this juncture.
Maxime Desmarais-Tremblay and Marianne Johnson
Alvin Hansen and John Williams’ Fiscal Policy Seminar at Harvard University is widely regarded as a key mechanism for the spread of Keynesianism in the United States. An original…
Abstract
Alvin Hansen and John Williams’ Fiscal Policy Seminar at Harvard University is widely regarded as a key mechanism for the spread of Keynesianism in the United States. An original and regular participant, Richard A. Musgrave was invited to prepare remarks for the fiftieth anniversary of the seminar in 1988. These were never published, though a copy was filed with Musgrave’s papers at Princeton University. Their reproduction here is important for several reasons. First, it is one of the last reminiscences of the original participants. Second, the remarks make an important contribution to our understanding of the Harvard School of macro-fiscal policy. Third, the remarks provide interesting insights into Musgrave’s views on national economic policymaking as well as the intersection between theory and practice. The reminiscence demonstrates the importance of the seminar in shifting Musgrave’s research focus and moving him to a more pragmatic approach to public finance.
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In recent years water has been the chief extraneous matter found in adulterated lard, but the results of the examination of the 2,918 samples (eight adulterated) reported upon…
Abstract
In recent years water has been the chief extraneous matter found in adulterated lard, but the results of the examination of the 2,918 samples (eight adulterated) reported upon during 1925, show cases of adulteration by substituting or adding vegetable oils and fats.
Diversified trading networks have recently drawn a great deal of attention. In the process, the importance of diversity has perhaps been overemphasized. Using the trade in port…
Abstract
Diversified trading networks have recently drawn a great deal of attention. In the process, the importance of diversity has perhaps been overemphasized. Using the trade in port wine from Portugal to Britain as an example, this essay attempts to show how a market once dominated by general, diversified traders was taken over by dedicated specialists whose success might almost be measured by the degree to which they rejected diversification to form a dedicated “commodity chain.” The essay suggests that this strategy was better able to handle matters of quality and the specialized knowledge that port wine required. The essay also highlights the question of power in such a chain. Endemic commodity-chain struggles are clearest in the vertical brand war that broke out in the nineteenth century, which, by concentrating power, marked the final stage in the transformation of the trade from network to vertical integration.