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This study investigates the roles of market, technology, and management system-related adaptive capability variables on a firm’s manufacturing adaptive capability. In addition, the study examines the effects of a firm’s manufacturing adaptive capability on its effectiveness. Further, this study tests the moderating role of organizational redundancy on the relationship between the market, technology, and management system-related adaptive capabilities and the overall manufacturing adaptive capability of a firm.

This study utilizes questionnaire-based research to test the suggested hypotheses by gathering related data from 59 manufacturing firms.

This study determined that a firm’s technology and management system-related adaptive capability positively relates to firm's manufacturing adaptive capability. Further, market adaptive capability influences manufacturing adaptive capability via the levels of technology and management system-related adaptive capabilities. Manufacturing adaptive capability is also found to be positively associated with organizational effectiveness, and resource redundancy positively moderates the relationship between management systems adaptive capability and manufacturing adaptive capability. Conversely, resource redundancy negatively moderates the relationship between technology adaptive capability and manufacturing adaptive capability. Finally, this study demonstrates that information redundancy does not moderate the desired relationship between all the adaptive capability-related variables for firms.

This study has some limitations inherent in survey design, mainly for both convenient sampling and country context.

This study suggests that management should improve firm’s manufacturing adaptive capability to enhance firm's overall effectiveness. For that purpose, managers should consider the interrelationships between the market and a firm’s technology, management system, and manufacturing-related adaptive capabilities. Management should also consider the importance of using resource-related redundancy to leverage the relationship between a firm’s management adaptive capability and manufacturing adaptive capability. At the same time, management should be aware of certain reverse effects of resource redundancy on both technology adaptive capability and the manufacturing adaptive capability linkage of a firm.

This study expands the understanding of the adaptive capability of firms by examining how manufacturing adaptive capability can be further enhanced. The study also offers a model for the potential relationships that develop between different aspects of organizational adaptive capability by applying the contingency role of organizational redundancy variables.

Multichannel (MC) service providers have been adopting a wide diversity of front-office service delivery models, i.e. different ways of employing channels to support the delivery of the service activities that involve customer interaction. Despite this, we are still faced with a paucity of concepts to understand the myriad of possible choices. The purpose of this paper is to develop a theoretical framework and basic design architectures to provide a structured understanding of the diversity of operational design choices for MC front-office service delivery models, their efficacy implications, and how they fit with the provider’s service strategy.

The study employs the analytical conceptual approach. The authors logically develop the architectures based on the operations management theory and provide corresponding empirical illustrations based on secondary sources, direct observation, and case studies.

The authors propose two theoretically meaningful dimensions to characterize and distinguish between delivery models (channel redundancy and channel span) and put forward four anchor architectures for such models: generalist, parallel, constricted, and centralized. The authors identify the operational efficacy implications (effectiveness and efficiency) of the different architectures, and develop a set of propositions and design principles for selecting appropriate architectures.

Future research should develop empirical measures for the dimensions underlying the architectures.

The study extends existing service process classifications by capturing the MC traits of front-office processes. The authors offer design principles to assist firms in selecting architectures that are aligned with their service strategy. The framework and architectures provide seminal concepts to support a wealth of future empirical studies.

Managing organizations in complex environments is a major challenge. Complexity is not only due to the external environment (market and/or technological turbulence) but also to the internal configuration and specificities. A recent stream of studies in organizational literature suggested that organizations should develop and deploy specific capabilities for facing complexity, namely dynamic capabilities. This means becoming more flexible. The paper aims to discuss these issues.

This paper proposes four main capabilities to face four dimensions of complexity. It then investigates if it is more appropriate to focus on a specific capability when facing higher levels of a specific dimension of complexity. The research methodology is a multiple case study in seven different organizational units of the same super-store corporate.

Data showed some important results. First of all, internal complexity is unit specific rather than corporate or industry specific. Moreover, it can derive not only from unpredictability and rate of change, but also from variety of elements and their interactions. All these elements form complexity. Internal complexity is characterized by four main elements: uncertainty, dynamicity, diversity and interdependence. Finally, for each of these elements, different organizational strategies are used: in case of uncertainty, for example, a strategy used by the companies is the sharing of information and the development of redundancy.

Originality lies in linking different capabilities with different dimensions of internal complexity.

The sheer complexity and unpredictability characterising cities challenges the adequacy of existing disciplinary knowledge and tools in urban design and highlights the necessity to incorporate explicitly the element of change and the dimension of time in the understanding of, and intervention on, the form of cities. To this regard the concept of resilience is a powerful lens through which to understand and engage with a changing world. However, resilience is currently only superficially addressed by urban designers, and an explicit effort to relate elements of urban form to resilience principles is still lacking. This represents a great limit for urban designers, as the physical dimension of cities is the matter they work with in the first place. In this paper, we combine established knowledge in urban morphology and resilience theory. We firstly look at resilience theory and consistently define five proxies of resilience in urban form, namely diversity, redundancy, modularity, connectivity and efficiency. Secondly, we discuss the configuration of, and interdependencies between, several constituent elements of the physical city, as defined in urban morphology and design, in light of the mentioned five proxies. Finally, we conduct this exploration at five scales that are relevant to urban morphology and design: plot, street edge, block, street and sanctuary area / district.

This study aims to investigate the antecedents of design crowdsourcing decision-making, the impact of design crowdsourcing on new product performance and the moderating effect of network connectivity.

The sample (n = 104) was collected from a leading social product development website; the fuzzy-set qualitative comparative analysis and two-stage least square methods were used in the investigation.

Three design attribute feature configurations (rational, emotional and kinesthetic value configurations) are conducive to firms’ adoption of design crowdsourcing and there are two configurations in which firms do not adopt design crowdsourcing. Design crowdsourcing influences new product performance positively. Network connectivity has an inverted U-shaped effect on the relationship between design crowdsourcing and new product performance.

These findings not only enrich crowdsourcing and social network studies but also guide crowdsourcing firms to better manage their processes and community members.

Analyses the economic system slice‐wise, taking the main economic activities for a year together. Within this slice the development of the economic activities is characterized by plus or minus signs according to an increase or decrease of the activities. This yearly sequence of plus and minus signs is taken as a pattern. Analyses these economic patterns according to cybernetic and economic criteria. Sign‐equivalent patterns are taken together as groups. The chronological development of these groups gives the profiles of the economy. The development of profiles is quite concordant with the business cycle of the economy in question.

The main purpose of the study was mechanical designing, simulation and manufacturing process for a new model of octocopter V-frame and to achieve simple manufacturing with 3D printing technology. Moreover, the octocopter PID controller was simulated on the Simulink environment to get performance on the roll and pitch angle control.

Octocopter is one kind of multirotor vehicle (a rotorcraft with more than two rotors), that has lately gained a lot of attention for both the scientific and commercial spheres. With a greater number of rotors, the multirotor is very maneuverable and robust. Multi-copter makes an important contribution to the technological revolution in the military, industry, transportation, mapping and especially agriculture. Nowadays, we are heading to the four-industrial revolutions as well as the new technological application in the agricultural field such as precision agriculture, mapping and surveillance. Due to recently advanced technology about sensors, electronics, 3D printing, battery with high performance, multi-copter can be manufactured at low cost.

The V-frame octocopter was chosen to design in this paper; it had better performance scores including high redundancy rotors, high payload capability and affordable cost than another multi-copter family. The V-frame octocopter increasing freedom field of view of the camera was considered to place the camera position in the front of the drone.

For the future aspects, the mechanical structure of the octocopter could be improved by using more advanced metal 3D printing to produce the aluminum or titan alloy materials for lighter and more rigid compared with ABS material, and finally the assembly to the real test.

The study shows the new platform of the V-frame octocopter kinematics analysis, designed on the CAD software, with some important mechanical parts using FEM analysis to find the highest stress and displacement under high load applied, the result of all connecting the joints 3D printing part is completely safe. Mechanical parts were manufactured by using 3D printing technology and CNC milling. Moreover, the study has shown V-frame octocopter simulation based on Simulink using the second method Ziegler- Nichols to find suitable parameters of the PID controller for roll and pitch angle. Using the block simulation is good for implementing and fast checking the new algorithm when building the new platform of the robot.

In community question answering (CQA), people who answer questions assume readers have mastered the content in the answers. Nevertheless, some readers cannot understand all content. Thus, there is a need for further explanation of the concepts that appear in the answers. Moreover, the large number of question and answer (Q&A) documents make manual retrieval difficult. This paper aims to alleviate these issues for CQA websites.

In the paper, an algorithm for recommending explanatory Q&A documents is proposed. Q&A documents are modeled with the biterm topic model (BTM) (Yan et al., 2013). Then, the growing neural gas (GNG) algorithm (Fritzke, 1995) is used to cluster Q&A documents. To train multiple classifiers, three features are extracted from the Q&A categories. Thereafter, an ensemble classification model is constructed to identify the explanatory relationships. Finally, the explanatory Q&A documents are recommended.

The GNG algorithm shows good clustering performance. The ensemble classification model performs better than other classifiers. The both effect and quality scores of explanatory Q&A recommendations are high. These scores indicate the practicality and good performance of the proposed recommendation algorithm.

The proposed algorithm alleviates information overload in CQA from the new perspective of recommending explanatory knowledge. It provides new insight into research on recommendations in CQA. Moreover, in practice, CQA websites can use it to help retrieve Q&A documents and facilitate understanding of their contents. However, the algorithm is for the general recommendation of Q&A documents which does not consider individual personalized characteristics. In future work, personalized recommendations will be evaluated.

A novel explanatory Q&A recommendation algorithm is proposed for CQA to alleviate the burden of manual retrieval and Q&A overload. The novel GNG clustering algorithm and ensemble classification model provide a more accurate way to identify explanatory Q&A documents. The method of ranking the explanatory Q&A documents improves the effectiveness and quality of the recommendation. The proposed algorithm improves the accuracy and efficiency of retrieving explanatory Q&A documents. It assists users in grasping answers easily.

There has been a rapid expansion in the literature on the measurement of multidimensional poverty in recent years. This paper focuses on the longitudinal aspects of multidimensional poverty and its link to dynamic income poverty measurement. Using panel household survey data in Vietnam from 2007, 2008, and 2010, the paper analyses the prevalence and dynamics of both multidimensional and monetary poverty from the same dataset. The results show that the monetary poor (or non-poor) are not always multidimensionally poor (or non-poor) – indeed the overlap between the two measures is much less than 50 percent. Additionally, monetary poverty shows faster progress as well as a higher level of fluctuation than multidimensional poverty. We suggest that rapid economic growth as experienced by Vietnam has had a larger and more immediate impact on monetary than on multidimensional poverty.